TY - JOUR
T1 - A New Extended MILP MRP Approach to Production Planning and Its Application in the Jewelry Industry
AU - Yazici, Erhan
AU - Büyüközkan, Gülçin
AU - Baskak, Murat
N1 - Publisher Copyright:
© 2016 Erhan Yazici et al.
PY - 2016
Y1 - 2016
N2 - It is important to manage reverse material flows such as recycling, reusing, and remanufacturing in a production environment. This paper addresses a production planning problem which involves reusing of scrap and recycling of waste that occur in the various stages of the production process and remanufacturing/recycling of returns in a closed-loop supply chain environment. An extended material requirement planning (MRP) is proposed as a mixed integer linear programming (MILP) model which includes - beside forward - these reverse material flows. The proposed model is developed for the jewelry industry in Turkey, which uses gold as the primary resource of production. The aim is to manage these reverse material flows as a part of production planning to utilize resources. Considering the mostly unpredictable nature of reverse material flows, the proposed model is likewise transformed into a fuzzy model to provide a better review of production plan for the decision maker. The suggested model is examined through a case study to test the applicability and efficiency.
AB - It is important to manage reverse material flows such as recycling, reusing, and remanufacturing in a production environment. This paper addresses a production planning problem which involves reusing of scrap and recycling of waste that occur in the various stages of the production process and remanufacturing/recycling of returns in a closed-loop supply chain environment. An extended material requirement planning (MRP) is proposed as a mixed integer linear programming (MILP) model which includes - beside forward - these reverse material flows. The proposed model is developed for the jewelry industry in Turkey, which uses gold as the primary resource of production. The aim is to manage these reverse material flows as a part of production planning to utilize resources. Considering the mostly unpredictable nature of reverse material flows, the proposed model is likewise transformed into a fuzzy model to provide a better review of production plan for the decision maker. The suggested model is examined through a case study to test the applicability and efficiency.
UR - http://www.scopus.com/inward/record.url?scp=84960969540&partnerID=8YFLogxK
U2 - 10.1155/2016/7915673
DO - 10.1155/2016/7915673
M3 - Article
AN - SCOPUS:84960969540
SN - 1024-123X
VL - 2016
JO - Mathematical Problems in Engineering
JF - Mathematical Problems in Engineering
M1 - 7915673
ER -