TY - JOUR
T1 - Mixed integer linear programming model for dynamic supplier selection problem considering discounts
AU - Adi Wicaksono, Purnawan
AU - Pujawan, I. Nyoman
AU - Widodo, Erwin
AU - Sutrisno,
AU - Izzatunnisa, Laila
N1 - Publisher Copyright:
© The Authors, published by EDP Sciences, 2018.
PY - 2018/2/28
Y1 - 2018/2/28
N2 - Supplier selection is one of the most important elements in supply chain management. This function involves evaluation of many factors such as, material costs, transportation costs, quality, delays, supplier capacity, storage capacity and others. Each of these factors varies with time, therefore, supplier identified for one period is not necessarily be same for the next period to supply the same product. So, mixed integer linear programming (MILP) was developed to overcome the dynamic supplier selection problem (DSSP). In this paper, a mixed integer linear programming model is built to solve the lot-sizing problem with multiple suppliers, multiple periods, multiple products and quantity discounts. The buyer has to make a decision for some products which will be supplied by some suppliers for some periods cosidering by discount. To validate the MILP model with randomly generated data. The model is solved by Lingo 16.
AB - Supplier selection is one of the most important elements in supply chain management. This function involves evaluation of many factors such as, material costs, transportation costs, quality, delays, supplier capacity, storage capacity and others. Each of these factors varies with time, therefore, supplier identified for one period is not necessarily be same for the next period to supply the same product. So, mixed integer linear programming (MILP) was developed to overcome the dynamic supplier selection problem (DSSP). In this paper, a mixed integer linear programming model is built to solve the lot-sizing problem with multiple suppliers, multiple periods, multiple products and quantity discounts. The buyer has to make a decision for some products which will be supplied by some suppliers for some periods cosidering by discount. To validate the MILP model with randomly generated data. The model is solved by Lingo 16.
UR - http://www.scopus.com/inward/record.url?scp=85043347509&partnerID=8YFLogxK
U2 - 10.1051/matecconf/201815401071
DO - 10.1051/matecconf/201815401071
M3 - Conference article
AN - SCOPUS:85043347509
SN - 2261-236X
VL - 154
JO - MATEC Web of Conferences
JF - MATEC Web of Conferences
M1 - 01071
T2 - 2nd International Conference on Engineering and Technology for Sustainable Development, ICET4SD 2017
Y2 - 13 September 2017 through 13 September 2017
ER -