@conference{Chutima20063562,

title = {Interaction analysis of dispatching and due-date assignment rules on assembly shop performances},

author = {Parames Chutima and Panitas Sureeyatanapas},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84886871877&partnerID=40&md5=28aa38e491992194331caffb2a0e868d},

year  = {2006},

date = {2006-01-01},

journal = {36th International Conference on Computers and Industrial Engineering, ICC and IE 2006},

pages = {3562 – 3573},

abstract = {The purpose of this research is to analyze the interaction between dispatching rules and due date assignment rules on the performances of assembly shops with balanced and unbalanced workloads via computer simulation. The experiments are conducted under four different conditions including dispatching rules, due date assignment rules, product structures, and shop utilizations. Dispatching rules are chosen from the best rules found in literature, whereas due-date assignment rules can be internal or external setting. The internal setting assigns due dates to the jobs based on the information related to job characteristics and shop status. Constant interval and random due date assignments are considered as the external setting. Shop utilizations are experimented at 80% and 90% both in balanced and unbalanced shops. The performance measurements consist of mean flow time, mean tardiness, percent of tardy jobs, and mean absolute lateness. The simulation results indicate that assigning job due dates based on the number of jobs in the system (JIS) rule and earliness job due-date (JDD) rule give the best overall performances. In this research, a new due-date assignment rule, called "JISNL", is developed based on the number of jobs in the system and the number of levels exercised with an additional algorithm related to priority jumping of jobs. It is found that JISNL gives even better results especially in the tall structure products or the products with many assembly levels.},

note = {Cited by: 0},

keywords = {},

pubstate = {published},

tppubtype = {conference}

}

@conference{Chutima20063574,

title = {A Study of impacts and solution guidelines for expedited and delayed jobs in thai plastic industry},

author = {Parames Chutima and Chana Yiangkamolsing and Chitlada Simcharoen},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84886870642&partnerID=40&md5=f13549e67ac64985a67b9605a944673d},

year  = {2006},

date = {2006-01-01},

journal = {36th International Conference on Computers and Industrial Engineering, ICC and IE 2006},

pages = {3574 – 3582},

abstract = {The objective of the research is to identify the main factors that cause expedited and delayed jobs in Thai plastic industry from the view points of customers, suppliers, and manufacturers. A real industrial survey was performed by mailing questionnaires and conducting direct interviews with production managers of plastic part manufacturers. The result indicates that many factors can cause expedited jobs including consumer, competitiveness, and engineering change. The factors that cause delayed jobs include limited storage area, capital shortage, and limited capacity of manufacturing process. Consequently, plastic manufacturers have to adapt the production plan to such changes, set new due dates, and higher or over utilization of machines and workers. This also results in cash flow shortage in the situation of delayed jobs. The research also highlights the linkage between dispatching rules that can be employed to manage expedited and delayed jobs. For examples, FASFS, EDD, OPNDD, MST, S/OPN, TWORK, LWKR, WINQ, NINQ, MOD, SLACK, and SLACK/TP can be used to alleviate the problem of due date tightness; COVERT can be used to manage the tardiness cost; and MOD and COVERT can be employed to satisfy average lateness.},

note = {Cited by: 0},

keywords = {},

pubstate = {published},

tppubtype = {conference}

}