Optimal Lot Sizing, Process Quality Improvement and Setup Cost Reduction

1986 ◽  
Vol 34 (1) ◽  
pp. 137-144 ◽  
Author(s):  
Evan L. Porteus
2020 ◽  
Vol 54 (1) ◽  
pp. 251-266 ◽  
Author(s):  
Rekha Guchhait ◽  
Bikash Koli Dey ◽  
Shaktipada Bhuniya ◽  
Baisakhi Ganguly ◽  
Buddhadev Mandal ◽  
...  

Cost reduction for setup and improvement of processes quality are the main target of this research along with free minimal repair warranty for an imperfect production System. This paper deals with the effect of setup cost reduction and process quality improvement on the optimal production cycle time for an imperfect production process with free product minimal repair warranty. Here the production system is subject to a random breakdown from an controlled system to an out-of-control state. Shortages are fully backlogged. The main target to minimize the total cost by simultaneously optimizing the production run time, setup cost, and process quality. A solution algorithm with some numerical experiments are provided such as the proposed model can illustrate briefly. Sensitivity analysis section is decorated for the optimal solution of the model with respect to major cost parameters of the system are carried out, and the implications of the analysis are discussed.


Energies ◽  
2019 ◽  
Vol 12 (19) ◽  
pp. 3733 ◽  
Author(s):  
Irfanullah Khan ◽  
Jihed Jemai ◽  
Han Lim ◽  
Biswajit Sarkar

The need for efficient electrical energy consumption has greatly expanded in the process industries. In this paper, efforts are made to recognize the electrical energy consumption in a two-echelon supply chain model with a stochastic lead-time demand and imperfect production, while considering the distribution free approach. The initial investments are made for quality improvement and setup cost reduction, which ultimately reduce electrical energy consumption. The inspection costs are considered in order to ensure the good qualities of the product. Centralized and decentralized strategies are used to analyze the proposed supply chain model. The main objective of this study is to reduce the overall cost through efficient electrical energy consumption in supply chain management by optimizing the lot size, the number of shipments, the setup cost, and the failure rate. A quantity-based transportation discount policy is applied to reduce the expected annual costs, and a service-level constraint is incorporated for the buyer to avoid a stockout situation. The impact of the decision variables on the expected total costs is analyzed, and sensitivity analysis is carried out. The results show a significant reduction in overall cost, with quality improvement and setup cost reduction ultimately reducing electrical energy consumption.


1997 ◽  
Vol 100 (3) ◽  
pp. 537-549 ◽  
Author(s):  
Meltem Denizel ◽  
Selçuk Erengüç ◽  
Harold P. Benson

2017 ◽  
Vol 13 (2) ◽  
pp. 1085-1104 ◽  
Author(s):  
Biswajit Sarkar ◽  
◽  
Arunava Majumder ◽  
Mitali Sarkar ◽  
Bikash Koli Dey ◽  
...  

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