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Rigorous analysis on performance of LEO satellite ground station in urban environment. International Journal of Satellite Communications and Networking, 25(6), 619–643.\nChen, Y., Mahalec, V., Chen, Y., He, R., & Liu, X. (2013). Optimal satellite orbit design for prioritized multi-targets with threshold observation time using self-adaptive differential evolution. Journal of Aerospace Engineering, 28(2), 04014066.\nDamiani, S., Dreihahn, H., Noll, J., Nizette, M., & Calzolari, G. P. (2007). A planning and scheduling system to allocate esa ground station network services. In The international conference on automated planning and scheduling.\nde Vos, H., Jongerden, J., & Van Etten, J. (2008). Images of war: Using satellite images for human rights monitoring in Turkish Kurdistan. Disasters, 32(3), 449–466.\nDrezner, Z. (1987). Heuristic solution methods for two location problems with unreliable facilities. Journal of the Operational Research Society, 38(6), 509–514.\nGalindo, G., & Batta, R. (2013). Prepositioning of supplies in preparation for a hurricane under potential destruction of prepositioned supplies. Socio-Economic Planning Sciences, 47(1), 20–37.\nGounder, V. V., Prakash, R., & Abu-Amara, H. (1999). Routing in LEO-based satellite networks. In Wireless communications and systems, 2000. 1999 emerging technologies symposium. IEEE.\nGurobi Optimization. (2015). Computer software. Gurobi. Vers. 6.0. Web.\nHuang, R., Kim, S., & Menezes, M. B. C. (2010). Facility location for large-scale emergencies. Annals of Operations Research, 181(1), 271–286.\nIwasaki, A., Miyatani, S., & Nakasuka, S. (2012). Satellite contributions to disaster monitoring-japanese earthquake and tsunami case in 2011. In Small satellite conference, Logan, UT.\nJia, H., Ordez, F., & Dessouky, M. M. (2007). Solution approaches for facility location of medical supplies for large-scale emergencies. Computers & Industrial Engineering, 52(2), 257–276.\nKaiser, R., Spiegel, P. B., Henderson, A. K., & Gerber, M. L. (2003). The application of geographic information systems and global positioning systems in humanitarian emergencies: Lessons learned, programme implications and future research. Disasters, 27(2), 127–140.\nKawasaki, A., Berman, M. L., & Guan, W. (2013). The growing role of web?based geospatial technology in disaster response and support. Disasters, 37(2), 201–221.\nKerle, N., & Oppenheimer, C. (2002). Satellite remote sensing as a tool in lahar disaster management. Disasters, 26(2), 140–160.\nLeslie, L. M., LeMarshall, J. F., Morison, R. P., Spinoso, C., Purser, R. J., Pescod, N., et al. (1998). Improved hurricane track forecasting from the continuous assimilation of high quality satellite wind data. Monthly Weather Review, 126(5), 1248–1258.\nLodree, E. J., Ballard, K. N., & Song, C. H. (2012). Pre-positioning hurricane supplies in a commercial supply chain. 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Fundamentals of astrodynamics and applications (2nd ed.). El Secundo, CA: Microcosm Press.\nVan Slyke, R. M., & Wets, R. (1969). L-shaped linear programs with applications to optimal control and stochastic programming. SIAM Journal on Applied Mathematics, 17(4), 638–663.\nWang, J., Zhu, X., Qiu, D., & Yang, L. T. (2013). Dynamic scheduling for emergency tasks on distributed imaging satellites with task merging. IEEE Transactions on Parallel and Distributed Systems, 25(9), 2275–2285.\nWang, P., Reinelt, G., Gao, P., & Tan, Y. (2011). A model, a heuristic and a decision support system to solve the scheduling problem of an earth observing satellite constellation. Computers & Industrial Engineering, 61(2), 322–335.\nZhu, K.-J., Li, J.-F., & Baoyin, H.-X. (2010). Satellite scheduling considering maximum observation coverage time and minimum orbital transfer fuel cost. Acta Astronautica, 66(1), 220–229.",{"EN":128},"Disaster recovery efforts are enhanced through the collection and dissemination of satellite data, which is downloaded from satellites to ground stations. The optimal ground station locations vary depending on the location of the disaster, but ground station construction occurs before the realization of a disaster. Thus, a stochastic optimization problem arises: decide the location of ground stations before disasters with uncertain locations. We use a stochastic programming approach to select the location of ground stations given a set of potential disaster scenarios. The objective is to maximize the expected amount of data downloaded. The problem formulation consists of a two-stage stochastic program where the first-stage determines the locations of the ground stations and the second-stage schedules the uploading and downloading of data. We solve the problem using the L-shaped method; we find that it significantly outperforms solving the deterministic equivalent problem directly. We also find that an alternate second-stage formulation significantly improves solution time. 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Boxma and B. Meister, Waiting-time approximations for cyclic-service systems with switch-over times, Perform. Eval. Rev. 14(1986)254–262.",{"doi":299},"10.1145\u002F317531.317558",{"id":18,"text":301,"url":18,"identifiers":302},"O.J. Boxma and W.P. Groenendijk, Pseudo-conservation laws in cyclic-service systems, J. Appl. Prob. 24(1987)949–964.",{"doi":303},"10.2307\u002F3214218",{"id":18,"text":305,"url":18,"identifiers":306},"K.C. Chang and D. Sandhu, Analysis of anM\u002FG\u002F1 queue with vacations and exhaustive limited service policy, Report 0489, Information and Decision Systems Laboratory, Rensselaer Polytechnic Institute, Troy, NY (July 1989).",{},{"id":18,"text":308,"url":18,"identifiers":309},"K.C. Chang, Performance modeling of token-passing protocols with time-out mechanisms, Doctoral Dissertation, Rensselaer Polytechnic Institute, Troy, NY (1990).",{},{"id":18,"text":311,"url":18,"identifiers":312},"K.C. Chang and D. Sandhu, Mean waiting time approximation for cyclic-service systems with exhaustive limited service policy,Proc. IEEE INFOCOM (1991), pp. 1168–1177; also to appear in Perform. Eval.",{"doi":313},"10.1109\u002FINFCOM.1991.147636",{"id":18,"text":315,"url":18,"identifiers":316},"D. Everitt, A conservation-type law for the token ring with limited service, Brit. Telecom Tech. J. 4(1986)51–56.",{},{"id":18,"text":318,"url":18,"identifiers":319},"D. Everitt, Simple approximations for token rings, IEEE Trans. Commun. COM-34(1986)719–721.",{"doi":320},"10.1109\u002FTCOM.1986.1096599",{"id":18,"text":322,"url":18,"identifiers":323},"D. Everitt, A note on the pseudo-conservation laws for cyclic service systems with limited service disciplines, IEEE Trans. Commun. COM-37(1989)781–783.",{"doi":324},"10.1109\u002F26.31172",{"id":18,"text":326,"url":18,"identifiers":327},"FDDI token ring media access control — ANSI Standard X3.139 (1987).",{},{"id":18,"text":329,"url":18,"identifiers":330},"M.J. Ferguson and Y.J. Aminetzah, Exact results for nonsymmetric token ring systems, IEEE Trans. Commun. COM-33(1985)223–231.",{"doi":331},"10.1109\u002FTCOM.1985.1096285",{"id":18,"text":333,"url":18,"identifiers":334},"S.W. Fuhrmann. Inequalities for cyclic service systems with limited service disciplines,Proc. GLOBECOM (1987). pp. 182–186.",{},{"id":18,"text":336,"url":18,"identifiers":337},"O. Hashida. A study of multiqueues in communication control. Doctoral Dissertation, University of Tokyo, Tokyo (1981), in Japanese.",{},{"id":18,"text":339,"url":18,"identifiers":340},"IEEE Standard 802.4-1985. Token-passing bus access method and physical layer specifications (1985).",{},{"id":18,"text":342,"url":18,"identifiers":343},"IEEE Standard 802.5-1985. Token-passing ring access method and physical layer specifications (1985).",{},{"id":18,"text":345,"url":18,"identifiers":346},"L. Kleinrock, A conservation law for a wide class of queueing disciplines, Naval Res. Logist. 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In Proceedings of the twenty-second international joint conference on artificial intelligence (pp. 1517–1522).\nTsiang, S. (1972). The rationale of the mean-standard deviation analysis, skewness preference, and the demand for money. American Economic Review, 62(3), 354–371.\nvon Neumann, J., & Morgenstern, O. (1994). Theory of games and economic behavior. Princeton, NJ: Princeton University Press.\nZhou, W., & Kapoor, G. (2011). Detecting evolutionary financial statement fraud. Decision Support Systems, 50(3), 570–575.",{"EN":396},"",{"EN":398},"Fraud detection is a key issue for investors and financial authorities. The Ponzi scheme organized by Bernard Madoff is a magnified example of a financial fraud, always possible when well-orchestrated. Traditional methods to detect fraud require costly and lengthy investigations that involve complex financial and legal knowledge, as well as highly skilled analysts. Based on the motto “too good to be true” that should be adopted by any rational investor, we propose herein the use of a robust performance measure (named GUN*) to construct an Index for detection of anomalies (called IDeA). This index is based on the basic intuition that it is not possible to properly evaluate a fund as “good” regardless the characteristics and risk aversion of investors. After defining the intuition behind such an index and its economic theoretical background, we illustrate our innovative operations research methodology for fraud detection and demonstrate its usefulness studying the emblematic case of the fraud by Madoff.",{"EN":400},"A financial fraud detection indicator for investors: an IDeA",{"VOID":402},"10.1007\u002Fs10479-019-03360-6","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs10479-019-03360-6",[405,423,440],{"id":406,"sortIndex":407,"researcher":18,"roles":408,"affiliations":409,"properties":420},"a18b5499-a657-4a22-94a0-93c4ae47ad8e",2,[141],[410],{"id":18,"sortIndex":19,"affiliation":411,"properties":18},{"id":412,"createTime":413,"updateTime":414,"relativeEntities":415,"slug":416,"properties":417,"entityType":47,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"ccea0004-2efe-4f60-ba24-bd4c23f547a6","2024-04-07T18:17:05.916+00:00","2024-08-29T06:47:34.460+00:00",[],"CEFRA-emlyon-business-school-CEMOI-University-of-La-Reunion-and-Variances-Paris-France",{"title":418},{"VI":419},"CEFRA (emlyon business school), CEMOI (University of La Reunion) and Variances, Paris, France",{"title":421},{"VI":422},"Bertrand B. 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(2020). Automotive industry depth report: Automotive annual report summary, how to deal with 2020? Retrieved October 9, 2020, from \n                  https:\u002F\u002Fbaijiahao.baidu.com\u002Fs?id=1663929518720172359&wfr=spider&for=pc\n                  \n                .\ncitation_journal_title=European Journal of Operational Research; citation_title=Operations–finance interface models: A literature review and framework; citation_author=L Zhao, A Huchzermeier; citation_volume=244; citation_issue=3; citation_publication_date=2015; citation_pages=905-917; citation_doi=10.1016\u002Fj.ejor.2015.02.015; citation_id=CR47",{"EN":497},"The goal of this paper was to examine the effect of debt financing on competitive manufactures’ product flexible capacity decisions. For this purpose, two competing firms were considered to invest in product flexible capacity and product dedicated capacity, respectively, each of them produced two products. Before investing in the capacity, each firm issues the optimal amount of debt. The product flexible capacity decision models of both levered firms and unlevered firms were built based on the competitive newsvendor model. Then the relationship between debt financing and product flexibility decision was discussed. The results indicated that under the competitive setting, the level of product flexibility decreased with debt as well as the difference of demand between the two products. Furthermore, the optimal capacity investment and debt of levered firms decreased with product flexibility. Finally, the firm could benefit from higher debt and total capacity investment when the product profit margin is large.",{"EN":499},"Product flexibility of competitive manufactures: the effect of debt financing",{"VOID":501},"10.1007\u002Fs10479-021-04132-x","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs10479-021-04132-x","https:\u002F\u002Flink.springer.com\u002Fcontent\u002Fpdf\u002F10.1007\u002Fs10479-021-04132-x.pdf",[505,520],{"id":506,"sortIndex":105,"researcher":18,"roles":507,"affiliations":508,"properties":517},"b87876da-a7d0-46ab-9539-6804ae932291",[141],[509],{"id":18,"sortIndex":19,"affiliation":510,"properties":18},{"id":511,"createTime":512,"updateTime":512,"relativeEntities":513,"slug":18,"properties":514,"entityType":47,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"1d090b2f-70f0-473b-81c5-02679ad49894","2024-01-14T18:52:05.959+00:00",[],{"title":515},{"VI":516},"School of Economics and Management, Shanxi University, Taiyuan, China",{"title":518},{"VI":519},"Wang, Zhan",{"id":521,"sortIndex":19,"researcher":18,"roles":522,"affiliations":523,"properties":529},"791a0163-b098-4425-a7a4-c3dcc149462c",[141],[524],{"id":18,"sortIndex":19,"affiliation":525,"properties":18},{"id":511,"createTime":512,"updateTime":512,"relativeEntities":526,"slug":18,"properties":527,"entityType":47,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},[],{"title":528},{"VI":516},{"title":530},{"VI":531},"Cao, Guozhao",{"url":502,"publisher":533,"properties":560},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":534,"slug":10,"properties":535,"entityType":16,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"subjectFields":538,"manageAffiliations":539,"indexDatabases":540,"url":18,"thumbnailPath":18,"statistic":555,"gsStatistic":18,"type":18,"analyzePriority":18},[],{"issn":536,"title":537},{"VOID":13},{"EN":15},[],[],[541,548],{"id":82,"indexDatabase":542,"url":97,"indexYears":18,"academicFieldIds":547,"indexDatabaseRanking":18},{"id":84,"createTime":85,"updateTime":86,"relativeEntities":543,"label":544,"description":545,"key":93,"publicationTags":546,"standard":18},[],{"EN":89,"VI":89},{"VI":91,"EN":92},[95,96],[99],{"id":62,"indexDatabase":549,"url":75,"indexYears":76,"academicFieldIds":554,"indexDatabaseRanking":80},{"id":64,"createTime":65,"updateTime":66,"relativeEntities":550,"label":551,"description":552,"key":72,"publicationTags":553,"standard":18},[],{"EN":69,"VI":69},{"EN":69,"VI":71},[74],[78,79],{"impactFactor":19,"impactFactorByYear":556,"i10Index":102,"i10IndexLast5Year":19,"totalPublication":103,"totalPublicationByYear":557,"totalCitation":107,"totalCitationByYear":558,"totalCitationPerPublication":111,"totalCitationPerPublicationByYear":559,"hindexLast5Year":102,"hindex":102},{},{"2003":105,"2004":106},{"2003":109,"2004":110},{"2003":109,"2004":113},{"volume":561,"pages":563,"issue":565},{"VOID":562},"307",{"VOID":564},"53-74",{"VOID":566},"1","2021-12-01",2021,{"id":570,"createTime":571,"updateTime":572,"relativeEntities":573,"slug":574,"properties":575,"entityType":133,"verifyStatus":134,"verifyTime":572,"verifyNote":135,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"primaryUrl":584,"fullTextUrl":18,"authors":585,"publicationType":166,"publisherRelationship":601,"citationCount":18,"citationInfo":18,"publishDate":634,"publishYear":635,"citationAnalyzeStatus":17,"lastCitationAnalyze":18,"indexDatabases":18,"openAccess":18,"references":18,"isForceReanalyzing":202},"03e0e6b8-34ef-4d24-b382-6da153b9cab9","2024-01-17T23:45:18.415+00:00","2025-02-23T23:58:35.785+00:00",[],"Rigid-and-flexible-automation-for-manufacturing-systems-Characterizing-economically-reasonable-investments",{"references":576,"abstract":578,"title":580,"doi":582},{"VOID":577},"J. Browne, D. Dubois, K. Rathmill, S.P. Sethi and K.E. Stecke, Classification of flexible manufacturing systems, The FMS Magazine (April, 1984).\nM. Burstein and E. Ezzekmi, Market-based planning to support the time-phased introduction of programmable automation, Proc. 1985 Annual International Industrial Engineering Conference, Los Angeles, CA (1985).\nM. Burstein, E. Ezzekmi and T. Genadis, The economic planning of programmable automation under uncertainty about future product mix requirements: The closed-loop case, Spring Joint National Meeting of ORSA\u002FTIMS, Los Angeles, CA (1986).\nM. Burstein, E. Ezzekmi and M. Talbi, Economic justification for the introduction of flexible manufacturing technology: Traditional procedures vs. a dynamic-based approach, Proc. 1st ORSA\u002FTIMS Special Interest Conference on FMS, Ann Arbor, MI (1984).\nC. Fine and R. Freund, Economic analysis of product-flexible manufacturing system investment decisions, Working Paper No. 1757-86, Sloan School of Management, MIT (1986).\nC. Gaimon, The optimal acquisition of flexible automation for a profit maximizing firm, Manag. Sci. 31(1985).\nG. Hutchinson, Production capacity: CAM vs. transfer line, Industrial Engineering 8, 9(1976).\nG. Hutchinson and J. Holland, The economic value of flexible automation, J. Manufacturing Systems 1, 2(1982).",{"EN":579},"As flexible manufacturing technology has become available across a broad range of applications, an increasingly large number of firms have confronted decisions about the adoption of flexible automation versus transfer lines versus some combination of these technologies. While the work of previous authors has provided some guidance to such decision making, the modular character of flexible capacity and the indivisible character of a transfer line have not been the basis, previously, for the development of formal decision rules. This paper makes use of a mixed-integer mathematical programming model to generate formal decision rules which, in turn, become an instrument for analyzing several fundamental hypotheses about the introduction of flexible and\u002For dedicated automation. The firm is assumed to have the objective of maximizing its present value and must account for the interaction of its markets with technological opportunities, present and anticipated.",{"EN":581},"Rigid and flexible automation for manufacturing systems: Characterizing economically-reasonable investments",{"VOID":583},"10.1007\u002FBF02186789","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002FBF02186789",[586],{"id":587,"sortIndex":19,"researcher":18,"roles":588,"affiliations":589,"properties":598},"d7d0f35c-5260-44d5-8125-8157ebd72c6a",[141],[590],{"id":18,"sortIndex":19,"affiliation":591,"properties":18},{"id":592,"createTime":593,"updateTime":593,"relativeEntities":594,"slug":18,"properties":595,"entityType":47,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"a85e5685-63ad-40f0-8e66-d626d9713861","2024-01-17T23:45:18.433+00:00",[],{"title":596},{"VI":597},"Manufacturing Systems Economics Group, Center for Social and Economic Issues, Industrial Technology Institute, Ann Arbor, USA",{"title":599},{"VI":600},"Michael C. Burstein",{"url":584,"publisher":602,"properties":629},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":603,"slug":10,"properties":604,"entityType":16,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"subjectFields":607,"manageAffiliations":608,"indexDatabases":609,"url":18,"thumbnailPath":18,"statistic":624,"gsStatistic":18,"type":18,"analyzePriority":18},[],{"issn":605,"title":606},{"VOID":13},{"EN":15},[],[],[610,617],{"id":82,"indexDatabase":611,"url":97,"indexYears":18,"academicFieldIds":616,"indexDatabaseRanking":18},{"id":84,"createTime":85,"updateTime":86,"relativeEntities":612,"label":613,"description":614,"key":93,"publicationTags":615,"standard":18},[],{"EN":89,"VI":89},{"VI":91,"EN":92},[95,96],[99],{"id":62,"indexDatabase":618,"url":75,"indexYears":76,"academicFieldIds":623,"indexDatabaseRanking":80},{"id":64,"createTime":65,"updateTime":66,"relativeEntities":619,"label":620,"description":621,"key":72,"publicationTags":622,"standard":18},[],{"EN":69,"VI":69},{"EN":69,"VI":71},[74],[78,79],{"impactFactor":19,"impactFactorByYear":625,"i10Index":102,"i10IndexLast5Year":19,"totalPublication":103,"totalPublicationByYear":626,"totalCitation":107,"totalCitationByYear":627,"totalCitationPerPublication":111,"totalCitationPerPublicationByYear":628,"hindexLast5Year":102,"hindex":102},{},{"2003":105,"2004":106},{"2003":109,"2004":110},{"2003":109,"2004":113},{"volume":630,"pages":632},{"VOID":631},"15",{"VOID":633},"21-35","1988-12-01",1988,{"id":637,"createTime":638,"updateTime":639,"relativeEntities":640,"slug":641,"properties":642,"entityType":133,"verifyStatus":134,"verifyTime":639,"verifyNote":135,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"primaryUrl":651,"fullTextUrl":18,"authors":652,"publicationType":166,"publisherRelationship":680,"citationCount":18,"citationInfo":18,"publishDate":713,"publishYear":714,"citationAnalyzeStatus":17,"lastCitationAnalyze":18,"indexDatabases":18,"openAccess":18,"references":18,"isForceReanalyzing":202},"4d4c9469-4da2-4360-8544-1c64aa04be6e","2024-01-20T06:09:57.959+00:00","2024-12-08T23:58:25.953+00:00",[],"On-optimality-conditions-and-duality-theorems-for-robust-semi-infinite-multiobjective-optimization-problems",{"references":643,"abstract":645,"title":647,"doi":649},{"VOID":644},"Aubin, J.-P. 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We prove a necessary optimality theorem for a weakly robust efficient solution of \n                  \n                    \n                  \n                  $${\\mathrm{(RSIMP)}} $$\n                  \n                    \n                  \n                , and then give a sufficient optimality theorem for a weakly robust efficient solution of \n                  \n                    \n                  \n                  $${\\mathrm{(RSIMP)}}$$\n                  \n                    \n                  \n                . We formulate a Wolfe type dual problem of \n                  \n                    \n                  \n                  $${\\mathrm{(RSIMP)}}$$\n                  \n                    \n                  \n                 and give duality results which hold between \n                  \n                    \n                  \n                  $${\\mathrm{(RSIMP)}}$$\n                  \n                    \n                  \n                 and its dual problem.",{"EN":648},"On optimality conditions and duality theorems for robust semi-infinite multiobjective optimization 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Accessed June 6, 2016.",{"doi":1189},"10.21236\u002FADA483510",{"id":1191,"createTime":1192,"updateTime":1193,"relativeEntities":1194,"slug":1195,"properties":1196,"entityType":133,"verifyStatus":17,"verifyTime":1193,"verifyNote":1205,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"primaryUrl":1206,"fullTextUrl":18,"authors":1207,"publicationType":166,"publisherRelationship":1222,"citationCount":18,"citationInfo":18,"publishDate":1255,"publishYear":1256,"citationAnalyzeStatus":17,"lastCitationAnalyze":18,"indexDatabases":18,"openAccess":18,"references":18,"isForceReanalyzing":202},"3416b893-fe3d-4ac8-aea4-0e7d29770725","2024-02-09T07:19:00.976+00:00","2025-02-15T23:57:37.917+00:00",[],"A-graph-theoretic-approach-to-analyzing-knowledge-bases-containing-rules-models-and-data",{"references":1197,"abstract":1199,"title":1201,"doi":1203},{"VOID":1198},"A. Basu and R.W. 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Basu, An artificial intelligence approach to model management in decision support systems, IEEE Computer 17(9)(1984).\nA.M. Geoffrion, An introduction to structured modeling, Management Science 33(1987)547–588.\nD. Harel, On visual formalisms, Communications of the ACM 31(1988)514–530.\nT-P. Liang, Development of a knowledge-based model management system, Operations Research 36(1988)849–863.\nJ.D. Ullman, Implementation of logical query languages for databases, ACM Transactions on Database Systems 10(1985)289–321.\nJ.D. Ullman, Principles of Database and Knowledge-Base Systems, vol. 1, Computer Science Press, Rockville, MD, 1988.",{"EN":1200},"Decision support systems (DSS) have traditionally utilized stored data and decision models as sources of information. In recent years, such systems have also started to include a certain amount of expert knowledge, usually in the form of rules. Unfortunately, despite the evolution of systems containing all three types of resources, effective tools to comprehensively analyze the relationships between data relations, decision models and rules are still lacking. These relationships include the following: (1) a decision model may access a data relation to instantiate some required input, (2) a rule may define the circumstances under which a model is valid, (3) a rule may serve as a database integrity constraint, and (4) the antecedent of a rule may be instantiated through the execution of a decision model or retrieval of relevant data from a data relation. A number of approaches, including graph-theoretic approaches, have been used to analyze interactions among instances of each type of resource. However, these approaches generally are not effective for analyzing interactions such as those above, among heterogeneous components. In this paper, we show how metagraphs, a new graph-theoretic construct, can be used both to visualize knowledge base structure, as well as to analyze the various components to make useful inferences during problem solving.",{"EN":1202},"A graph-theoretic approach to analyzing knowledge bases containing rules, models and data",{"VOID":1204},"10.1023\u002FA:1018967731445","Author affiliation is blank","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1023\u002FA:1018967731445",[1208,1215],{"id":1209,"sortIndex":105,"researcher":18,"roles":1210,"affiliations":1211,"properties":1212},"bb4d4907-b4dc-4336-8c3e-6d936222b0ba",[141],[],{"title":1213},{"VI":1214},"Robert W. Blanning",{"id":1216,"sortIndex":19,"researcher":18,"roles":1217,"affiliations":1218,"properties":1219},"0fd91ec7-b397-49e6-a3b5-fabfc385208c",[141],[],{"title":1220},{"VI":1221},"Amit Basu",{"url":1206,"publisher":1223,"properties":1250},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":1224,"slug":10,"properties":1225,"entityType":16,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"subjectFields":1228,"manageAffiliations":1229,"indexDatabases":1230,"url":18,"thumbnailPath":18,"statistic":1245,"gsStatistic":18,"type":18,"analyzePriority":18},[],{"issn":1226,"title":1227},{"VOID":13},{"EN":15},[],[],[1231,1238],{"id":82,"indexDatabase":1232,"url":97,"indexYears":18,"academicFieldIds":1237,"indexDatabaseRanking":18},{"id":84,"createTime":85,"updateTime":86,"relativeEntities":1233,"label":1234,"description":1235,"key":93,"publicationTags":1236,"standard":18},[],{"EN":89,"VI":89},{"VI":91,"EN":92},[95,96],[99],{"id":62,"indexDatabase":1239,"url":75,"indexYears":76,"academicFieldIds":1244,"indexDatabaseRanking":80},{"id":64,"createTime":65,"updateTime":66,"relativeEntities":1240,"label":1241,"description":1242,"key":72,"publicationTags":1243,"standard":18},[],{"EN":69,"VI":69},{"EN":69,"VI":71},[74],[78,79],{"impactFactor":19,"impactFactorByYear":1246,"i10Index":102,"i10IndexLast5Year":19,"totalPublication":103,"totalPublicationByYear":1247,"totalCitation":107,"totalCitationByYear":1248,"totalCitationPerPublication":111,"totalCitationPerPublicationByYear":1249,"hindexLast5Year":102,"hindex":102},{},{"2003":105,"2004":106},{"2003":109,"2004":110},{"2003":109,"2004":113},{"volume":1251,"pages":1253},{"VOID":1252},"75",{"VOID":1254},"3-23","1997-01-01",1997,{"id":1258,"createTime":1259,"updateTime":1260,"relativeEntities":1261,"slug":1262,"properties":1263,"entityType":133,"verifyStatus":17,"verifyTime":1260,"verifyNote":1205,"syncStatus":17,"languages":1269,"translateLanguages":18,"viewCount":19,"primaryUrl":1270,"fullTextUrl":18,"authors":1271,"publicationType":166,"publisherRelationship":1316,"citationCount":18,"citationInfo":18,"publishDate":1344,"publishYear":1345,"citationAnalyzeStatus":17,"lastCitationAnalyze":18,"indexDatabases":18,"openAccess":18,"references":1346,"isForceReanalyzing":202},"6910d3e2-8a78-4587-b382-7b6c28e9806f","2024-04-14T16:37:19.071+00:00","2025-02-23T23:57:32.393+00:00",[],"Preface",{"keywords":1264,"abstract":1265,"title":1266,"doi":1267},{"EN":396},{"EN":396},{"EN":1262},{"VOID":1268},"10.1023\u002FA:1014910928020",[221],"https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1023\u002FA:1014910928020",[1272,1279,1286,1293,1301,1309],{"id":1273,"sortIndex":19,"researcher":18,"roles":1274,"affiliations":1275,"properties":1276},"3890e035-09b5-44c7-a8d6-5c984a0965c0",[],[],{"title":1277},{"EN":1278},"Henrik Blank",{"id":1280,"sortIndex":407,"researcher":18,"roles":1281,"affiliations":1282,"properties":1283},"4424f48a-d52c-4cef-8be1-eca1af2e3f7e",[],[],{"title":1284},{"EN":1285},"Gautam Mitra",{"id":1287,"sortIndex":831,"researcher":18,"roles":1288,"affiliations":1289,"properties":1290},"84cf2342-75a4-4440-9703-dd8d12b84fff",[],[],{"title":1291},{"EN":1292},"Steven Noble",{"id":1294,"sortIndex":1295,"researcher":18,"roles":1296,"affiliations":1297,"properties":1298},"d52cc945-a2bb-4b77-8cfd-d3d20a75ea45",5,[],[],{"title":1299},{"EN":1300},"William R. Pulleyblank",{"id":1302,"sortIndex":1303,"researcher":18,"roles":1304,"affiliations":1305,"properties":1306},"452eda06-cdba-4804-bb78-7e8a7363743c",3,[],[],{"title":1307},{"EN":1308},"Toshihide Ibaraki",{"id":1310,"sortIndex":105,"researcher":18,"roles":1311,"affiliations":1312,"properties":1313},"d756a498-c812-4d13-a52d-8a5932c1ca4d",[],[],{"title":1314},{"EN":1315},"Rainer Burkard",{"url":18,"publisher":1317,"properties":18},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":1318,"slug":10,"properties":1319,"entityType":16,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"subjectFields":1322,"manageAffiliations":1323,"indexDatabases":1324,"url":18,"thumbnailPath":18,"statistic":1339,"gsStatistic":18,"type":18,"analyzePriority":18},[],{"issn":1320,"title":1321},{"VOID":13},{"EN":15},[],[],[1325,1332],{"id":82,"indexDatabase":1326,"url":97,"indexYears":18,"academicFieldIds":1331,"indexDatabaseRanking":18},{"id":84,"createTime":85,"updateTime":86,"relativeEntities":1327,"label":1328,"description":1329,"key":93,"publicationTags":1330,"standard":18},[],{"EN":89,"VI":89},{"VI":91,"EN":92},[95,96],[99],{"id":62,"indexDatabase":1333,"url":75,"indexYears":76,"academicFieldIds":1338,"indexDatabaseRanking":80},{"id":64,"createTime":65,"updateTime":66,"relativeEntities":1334,"label":1335,"description":1336,"key":72,"publicationTags":1337,"standard":18},[],{"EN":69,"VI":69},{"EN":69,"VI":71},[74],[78,79],{"impactFactor":19,"impactFactorByYear":1340,"i10Index":102,"i10IndexLast5Year":19,"totalPublication":103,"totalPublicationByYear":1341,"totalCitation":107,"totalCitationByYear":1342,"totalCitationPerPublication":111,"totalCitationPerPublicationByYear":1343,"hindexLast5Year":102,"hindex":102},{},{"2003":105,"2004":106},{"2003":109,"2004":110},{"2003":109,"2004":113},"2001-10-01",2001,[],{"id":1348,"createTime":1349,"updateTime":1349,"relativeEntities":1350,"slug":18,"properties":1351,"entityType":133,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"primaryUrl":1360,"fullTextUrl":18,"authors":1361,"publicationType":166,"publisherRelationship":1389,"citationCount":18,"citationInfo":18,"publishDate":1422,"publishYear":1423,"citationAnalyzeStatus":17,"lastCitationAnalyze":18,"indexDatabases":18,"openAccess":18,"references":18,"isForceReanalyzing":202},"b7290fd2-4f70-42a5-ba06-aadd29913436","2024-01-10T23:57:15.633+00:00",[],{"references":1352,"abstract":1354,"title":1356,"doi":1358},{"VOID":1353},"Akter, S., Wamba, S. 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Journal of Supply Chain Management, 3(50), 55–73.\nCachon, G. P., & Lariviere, M. A. (2005). Supply chain coordination with revenue-sharing contracts: Strengths and limitations. Management Science, 51(1), 30–44. doi:10.1287\u002Fmnsc.1040.0215.\nCachon, G. (2003). Supply chain coordination with contracts 1. Handbooks in Operations Research and Management Science, 11, 229–340.\nCambria, E., Mazzocco, T., & Hussain, A. (2013). Application of multi-dimensional scaling and artificial neural networks for biologically inspired opinion mining. Biologically Inspired Cognitive Architectures, 4, 41–53. doi:10.1016\u002Fj.bica.2013.02.003.\nChae, B. K., & Olson, D. L. (2013). Business analytics for supply chain: A dynamic-capabilities framework. International Journal of Information Technology & Decision Making, 12(01), 9–26. doi:10.1142\u002FS0219622013500016.\nCooper, M., & Mell, P. (2016). 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Big data analytics and firm performance: Effects of dynamic capabilities. Journal of Business Research. doi:10.1016\u002Fj.jbusres.2016.08.009.\nWang, G., Gunasekaran, A., Ngai, E. W. T., & Papadopoulos, T. (2016). Big data analytics in logistics and supply chain management: Certain investigations for research and applications. International Journal of Production Economics, 176, 98–110. doi:10.1016\u002Fj.ijpe.2016.03.014.\nWeng, Z. K. (1995). Channel coordination and quantity discounts. Management Science, 9(41), 1509–1522.\nWhite, M. (2012). Digital workplaces vision and reality. Business Information Review, 29(4), 205–214.\nwikipedia.big data, 2012-10-12. https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002Fbig_data.\nXiao, T., Shi, K., & Yang, D. (2010). Coordination of a supply chain with consumer return under demand uncertainty. International Journal of Production Economics, 124(1), 171–180. doi:10.1016\u002Fj.ijpe.2009.10.021.\nYang, S., Hong, K., & Lee, C. (2014). Supply chain coordination with stock-dependent demand rate and credit incentives. International Journal of Production Economics, 157(SI), 105–111. doi:10.1016\u002Fj.ijpe.2013.06.014.\nZhao, L. M., & Zheng, J. B. (2003). Research of the supply chain for large custom-made model. Chinese Journal Science and Technology Management, 24(8), 119–122. doi:10.3969\u002Fj.issn.1002-0241.2003.08.033.",{"EN":1355},"In the Big Data environment, aims of enterprises investing in Big Data are to gain Big Data information (BDI). To study the decision-making issues of BDI investment and its effects on supply chain coordination, a supply chain with one retailer and one manufacturer was chosen. Meanwhile, considering a company owned the internal BDI and the external BDI, the market demand function was revised and four decision models were proposed from a new perspective. Then, the effects of BDI investment on supply chain members’ benefits under the four models were analyzed and an effectively coordination tactic was presented for achieving supply chain coordination. Results indicated when the investment cost could face a certain threshold, the retailer or the manufacturer investing in BDI could increase its benefits. Meanwhile, there existed “positive externalities” for other supply chain members. In addition, after supply chain members investing in BDI together, revenue-sharing contract could coordinate the supply chain effectively. This article provided a theoretical guidance or a decision basis for companies investing in BDI, meanwhile, it had reference values for supply chain coordination after investing in BDI.",{"EN":1357},"A study on supply chain investment decision-making and coordination in the Big Data environment",{"VOID":1359},"10.1007\u002Fs10479-017-2424-4","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs10479-017-2424-4",[1362,1377],{"id":1363,"sortIndex":105,"researcher":18,"roles":1364,"affiliations":1365,"properties":1374},"8ca37d5a-2974-4dc3-bc41-296b2f0560cf",[141],[1366],{"id":18,"sortIndex":19,"affiliation":1367,"properties":18},{"id":1368,"createTime":1369,"updateTime":1369,"relativeEntities":1370,"slug":18,"properties":1371,"entityType":47,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"61f7b6a5-e32b-4c51-a9c6-ecbdc2441ae1","2024-01-10T23:57:15.656+00:00",[],{"title":1372},{"VI":1373},"Chongqing Key Laboratory of Logistics, College of Mechanical Engineering, Chongqing University, Chongqing, China",{"title":1375},{"VI":1376},"Shu-ping Yi",{"id":1378,"sortIndex":19,"researcher":18,"roles":1379,"affiliations":1380,"properties":1386},"d027c9be-d3b8-430e-9ff2-015b284e00fc",[141],[1381],{"id":18,"sortIndex":19,"affiliation":1382,"properties":18},{"id":1368,"createTime":1369,"updateTime":1369,"relativeEntities":1383,"slug":18,"properties":1384,"entityType":47,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},[],{"title":1385},{"VI":1373},{"title":1387},{"VI":1388},"Pan Liu",{"url":1360,"publisher":1390,"properties":1417},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":1391,"slug":10,"properties":1392,"entityType":16,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"subjectFields":1395,"manageAffiliations":1396,"indexDatabases":1397,"url":18,"thumbnailPath":18,"statistic":1412,"gsStatistic":18,"type":18,"analyzePriority":18},[],{"issn":1393,"title":1394},{"VOID":13},{"EN":15},[],[],[1398,1405],{"id":82,"indexDatabase":1399,"url":97,"indexYears":18,"academicFieldIds":1404,"indexDatabaseRanking":18},{"id":84,"createTime":85,"updateTime":86,"relativeEntities":1400,"label":1401,"description":1402,"key":93,"publicationTags":1403,"standard":18},[],{"EN":89,"VI":89},{"VI":91,"EN":92},[95,96],[99],{"id":62,"indexDatabase":1406,"url":75,"indexYears":76,"academicFieldIds":1411,"indexDatabaseRanking":80},{"id":64,"createTime":65,"updateTime":66,"relativeEntities":1407,"label":1408,"description":1409,"key":72,"publicationTags":1410,"standard":18},[],{"EN":69,"VI":69},{"EN":69,"VI":71},[74],[78,79],{"impactFactor":19,"impactFactorByYear":1413,"i10Index":102,"i10IndexLast5Year":19,"totalPublication":103,"totalPublicationByYear":1414,"totalCitation":107,"totalCitationByYear":1415,"totalCitationPerPublication":111,"totalCitationPerPublicationByYear":1416,"hindexLast5Year":102,"hindex":102},{},{"2003":105,"2004":106},{"2003":109,"2004":110},{"2003":109,"2004":113},{"volume":1418,"pages":1420},{"VOID":1419},"270",{"VOID":1421},"235-253","2017-02-13",2017]