An Application of Time-Dependent Holding Costs and System Reliability in a Multi-Item Sustainable Economic Energy Efficient Reliable Manufacturing System

Energies

Jihed Jemai¹  Sungjun Kim²  Baishakhi Ganguly³  Mitali Sarkar⁴  Biswajit Sarkar⁵ 

[1] Management Engineering, Hanyang University, Ansan, Gyeonggi-do 155 88, Korea;;Department of Industrial &Department of Industrial Engineering, Hanyang University, Seoul 04763, Korea;Department of Industrial Engineering, Yonsei University, 50 Yonsei-ro, Sinchon-dong, Seodaemun-gu, Seoul 03722, Korea;;Department of Mathematics &

关键词: energy;    sustainable manufacturing system;    multi-item production;    variable holding cost;    inflation;    control theory;   

DOI  :  10.3390/en12152857

来源: DOAJ

【 摘 要 】

Sustainable efficient energy is the key factor of any sustainable manufacturing system. This study addresses a multi-item sustainable economic energy efficient reliable manufacturing quantity (MSEEERMQ) model. The manufacturing system produces defective products during long-runs, where those products may be reworked under the optimum effect of energy and carbon footprint with some costs. As all products are not sold immediately, the holding cost increases based on time. The management decides the system design variable to reduce energy consumption cost and increase system reliability under some time-dependent holding costs, and the optimum energy such that the maximum profit of the production model is obtained with a system reliability as a decision variable. The inflation and time-value of money are considered to calculate the cost of the production model under efficient energy. Using control theory, an Euler−Lagrange method is employed to obtain the sustainable critical path, which gives the optimal solution of the model. There are two lemmas to prove the global optimal solution of the model through the control theory. There is an illustrative example to test the model. Under different conditions there are other two examples with graphical representation and sensitivity analysis. Numerical studies reveal that maximum profit is obtained at the optimal value of the decision variable.

【 授权许可】

Unknown