A study of job shop standard setup time quota
Tóm tắt
For the multi-item and small lot size production mode and single machine job shop scheduling sequence independent setup time, many setup times are difficult to estimate accurately, which influences the ability to achieve accurate production cycles and costs of products. The survey shows that the length of the setup time depends on the level of employee’s knowledge. Therefore, a method for determining the standard setup time quota based on the level of employees’ knowledge is proposed. First, an evaluation index system for the level of employee’s knowledge is built; the level of employee’s knowledge is estimated by the masses and experts fuzzy comprehension evaluation and entropy method. Second, the range and definition of the level of employees’ knowledge index are developed. Third, the relational model of the employee’s knowledge level and the level of employees’ knowledge index is constructed through the least squares method. Finally, an example application is presented to verify the feasibility and effectiveness of the proposed model.
Tài liệu tham khảo
Luo Z, Wang R, Lei J (2004) A study on the assistant mechanical time quota. Mach Tool Hydraul 12:62–64
Yin X, Zhang D, Huang W (2014) Standard time study based on staff’s work enthusiasm level index. Comput Integr Manuf Syst 20(8):1980–1986
Chen Y, Gu M, Wang J (2015) Method for determining standard time based on staff’s knowledge level index. Comput Integr Manuf Syst. doi:10.13196/j.cims.2015.10.026
Kach A, Azadegan A, Wagner SM (2015) The influence of different knowledge workers on innovation strategy and product development performance in small and medium-sized enterprises. Int J Prod Res 53(8):2489–2505
Sethi R (2000) New product quality and product development teams. J Mark 64(2):1–14
Rodríguez ERAB (2011) Team vision in product development: how knowledge strategy matters. Technovation 31(2–3):118–127
Othman M, Gouw GJ, Bhuiyan N (2012) Workforce scheduling: a new model incorporating human factors. J Ind Eng Manag 5(2):259–284
Harris D (2006) The influence of human factors on operational efficiency. Aircr Eng Aerosp Technol 1(78):20–25
Yu X, Zhang Z, Tian X (2009) Method of calculation assistant mechanical time based on MOD. Mech Electr 4:68–70
Bai J, Li Z, Huang X (2012) Single-machine group scheduling with general deterioration and learning effects. Appl Math Model 36(3):1267–1274
Browne S, Yechiali U (1990) Scheduling deteriorating jobs on a single processor. Oper Res 38(3):495–498
Lu Y, Wang J, Wang J (2014) Single machine group scheduling with decreasing time-dependent processing times subject to release dates. Appl Math Comput 234:286–292
Zhang X, Yan G (2010) Single-machine group scheduling problems with deteriorated and learning effect. Appl Math Comput 216(4):1259–1266
Koulamas C, Kyparisis GJ (2008) Single-machine scheduling problems with past-sequence-dependent setup times. Eur J Oper Res 187(3):1045–1049
Wang J, Wang J (2014) Single machine group scheduling with time dependent processing times and ready times. Inf Sci 275:226–231
Kwak I, Jeong I (2011) A hierarchical approach for the capacitated lot-sizing and scheduling problem with a special structure of sequence-dependent setups. Int J Prod Res 49(24):7425–7439
Mayor M (2009) Longman dictionary of contemporary English. Pearson Education India, Noida
Wiig KM (1994) Knowledge management foundations: thinking about thinking-how people and organizations represent, create, and use knowledge. Schema Press, Limited, Arlington
Reed N, Scanlan J, Wills G, Halliday ST (2011) Knowledge use in an advanced manufacturing environment. Des Stud 32(3):292–312
Le C (2013) Intergraded evaluation method and application of enterprise knowledge and employee contribution. Zhejiang University, Hangzhou
Yang H, Fu P (2005) Application of fuzzy comprehension evaluation based on entropy weight. J North China Electr Power Univ 5:106–109