TY  - JOUR
AB  - Purpose Proper management of supplies and their delivery greatly affects the competitiveness of companies. This paper aims to propose an integrated decision-making approach for integrated transportation and production scheduling problem in a two-stage supply chain. The objective functions are minimizing the total delivery tardiness, production cost and the emission by suppliers and vehicles and maximizing the production quality.Design/methodology/approach First, the mathematical model of the problem is presented. Consequently, a new algorithm based on a combination of the genetic algorithm (GA) and the VIKOR method in multi-criteria decision-making, named GA-VIKOR, is introduced. To evaluate the efficiency of GA-VIKOR, it is implemented in a pharmaceutical distribution company located in Iran and the results are compared with those obtained by the previous decision-making process. The results are also compared with a similar algorithm which does not use the VIKOR method and other algorithm mentioned in the literature. Finally, the results are compared with the optimized solutions for small-sized problems.Findings Results indicate the high efficiency of GA-VIKOR in making decisions regarding integrated production supply chain and transportation scheduling.Research limitations/implications This research aids the manufacturers to minimize their total delivery tardiness and production cost and at the same time maximize their production quality. These improve the customer satisfaction as a part of social and manufacturer’s power of competitiveness. Furthermore, the emission minimizing objective functions directly provides benefits to the environment and the society.Originality/value This paper investigates a new supply chain scheduling the problems and presents its mathematical formulation. Moreover, a new algorithm is introduced to solve the multi-objective problems.
VL  - 47
IS  - 7
SN  - 0368-492X
DO  - 10.1108/K-07-2017-0275
UR  - https://doi.org/10.1108/K-07-2017-0275
AU  - Borumand Ali
AU  - Beheshtinia Mohammad Ali
PY  - 2018
Y1  - 2018/01/01
TI  - A developed genetic algorithm for solving the multi-objective supply chain scheduling problem
T2  - Kybernetes
PB  - Emerald Publishing Limited
SP  - 1401
EP  - 1419
Y2  - 2024/04/23
ER  -