DocumentCode :
3456858
Title :
Integrating m-Machine Scheduling into MRP
Author :
Masuchun, Ruedee ; Masuchun, Wiboon ; Thepmanee, Teerawat
Author_Institution :
Fac. of Eng., King Mongkut´´s Inst. of Technol. Ladkrabang, Bangkok, Thailand
fYear :
2009
fDate :
7-9 Dec. 2009
Firstpage :
1365
Lastpage :
1368
Abstract :
This paper presents an approach to integrate the m-machine production scheduling into Material Requirements Planning (MRP). In general, generating MRP considers only Bill of Materials (BOM) and ignores capacity constraints and operating sequences; therefore, a production plan is unachievable when scheduling is actually performed next on shop-floor. That is why recent research has focused on executing both MRP and scheduling simultaneously. Our approach uses an integer linear programming model to plan and schedule concurrently to look right through the capacity constraints and operating sequences. The objective function of the proposed model considers both planning and scheduling purposes that is to minimize total inventory costs and order´s tardiness. All significant and inevitable concerns when separately generating MRP and schedule are incorporated with the model through several constraints. Numerical results show that this model can be used to simultaneously generate reasonable MRP as well as feasible and optimal m-machine production schedule.
Keywords :
bills of materials; integer programming; linear programming; production control; scheduling; bill of materials; integer linear programming mod; inventory cost minimization; m-machine production scheduling; material requirements planning; optimal m-machine production schedule; Assembly; Bills of materials; Capacity planning; Cost function; Integer linear programming; Inventory control; Job shop scheduling; Materials requirements planning; Processor scheduling; Production;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Computing, Information and Control (ICICIC), 2009 Fourth International Conference on
Conference_Location :
Kaohsiung
Print_ISBN :
978-1-4244-5543-0
Type :
conf
DOI :
10.1109/ICICIC.2009.248
Filename :
5412364
Link To Document :
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