Analysis of the relationship between available information and performance in facility logistics
Tóm tắt
Regarding the amount of processed information, there are two basic approaches to handle today’s increasing requirements for facility logistics systems. First, the collection of all achievable information about the system and its load in order to predict future system states accurately; theoretically, this could lead to optimal results. Second, the use of rather simple heuristics with less need for information but higher flexibility and robustness instead. This approach is for instance being realized with the Internet of Things in facility logistics. This paper analyses the dependency of throughput time and capacity utilization on available information for two limiting cases. While a ‘best possible’ case assumes that the material flow control has all relevant information about the system and loads, a ‘worst reasonable’ case considers the same for very limited information. The influence of layout, throughput, and element availabilities on this relationship is analyzed for both cases on the basis of a scalable generic test system and steady flow situations. In total, nine simulation studies are conducted and analyzed regarding throughput time and element utilization as performance indicators. Implications for the importance of information on performance depending on system complexity are discussed, and directions for further research are provided.
Tài liệu tham khảo
De Meyer A (1998) Manufacturing operations in Europe: where do we go next? Eur Manag J 16(3):262–271
Nyhuis P (2006) Logistic production operating curves—basic model of the Theory of Logistic Operating Curves. Ann CIRP 55(1):441–444
Schuh G, Wemhöner N, Friedrich C (2005) Scenario-based lifecycle analysis of manufacturing systems. In: Proceedings of the 38th CIRP international seminar on manufacturing systems, Florianopolis, Brazil, 2005
Bullinger HJ, ten Hompel M (eds) (2007) Internet der Dinge. Springer, Berlin
Mikosch F (2008) Zukunftsthemen der Logistik. Ind Manag 24(2):9–10
Van der Vorst JGA, Beulens AJM, de Wit W, van Beek P (1998) Supply chain management in food chains: improving performance by reducing uncertainty. Int Trans Oper Res 5(6):487–499
Wiendahl HP, Breithaupt JW (2000) Automatic production control applying control theory. Int J Prod Econ 63:33–46
ten Hompel M (2008) Intralogistik—Auf dem Weg vom Prozess zum Service. In: Baumgarten H (ed) Das Beste der Logistik. Innovationen, Strategien, Umsetzungen. Springer, Berlin, pp 103–110
Günthner W, Chisu R, Kuzmany F (2008) Das “Internet der Dinge”—Teil I. Intelligent verteilt. F+H, 7–8:422–425
Günthner W, Chisu R, Kuzmany F (2008) Das “Internet der Dinge”—Teil II. Steuern ohne Hierarchie. F+H, 9:494–497
Nagel L, Roidl M, Follert G (2008) The internet of things: on standardisation in the domain of intralogistics. Workshop ‘Producing Standards for the Internet of Things’, Conference Internet of Things 2008, Zurich, Switzerland
Follert G, Roidl M (2008) Evaluation of routing strategies for decentralized self-organization in large scale conveyor systems. Progress in Material Handling Research, Material Handling Institute, 160–184
ten Hompel M, Follert G, Roidl M (2008) Künstliche Intelligenz im Internet der Dinge: Die Zukunft der Materialflusssteuerung mit autonomen Agenten. Jahrbuch Logistik 2008:24–29
Scholz-Reiter B, Jagalski T, Bendul J (2007) Bienenalgorithmen zur Selbststeuerung logistischer Prozesse. Ind Manag 23(5):7–10
Armbruster D, de Beer C, Freitag M, Jagalski T, Ringhofer C (2006) Autonomous control of production networks using a pheromone approach. Physica A 363:104–114
Großeschallau W (1984) Materialflußrechnung. Springer, Berlin
Arnold D, Furmans K (2007) Materialfluss in Logistiksystemen. 5., erweiterte Auflage. Springer, Berlin
ten Hompel M, Jünemann R, Nagel L (2007) Materialflusssysteme. Förder- und Lagertechnik. 3., völlig neu bearbeitete Auflage. Springer, Berlin
Verein Deutscher Ingenieure (VDI) (2002) Technical availability of machines and production lines. Terms, definitions, determination of time periods and calculation. VDI-Richtlinien 3423(4):7–9