at]Mixture Inventory Model Involving Setup Cost Reduction with a Service Level Constraint

OPSEARCH ◽  
2000 ◽  
Vol 37 (4) ◽  
pp. 327-339 ◽  
Author(s):  
Liang-Yuh Ouyang ◽  
Hung-Chi Chang
Keyword(s):  
Cost Reduction ◽  
Service Level ◽  
Inventory Model ◽  
Setup Cost ◽  
Setup Cost Reduction

scholarly journals Effect of Electrical Energy on the Manufacturing Setup Cost Reduction, Transportation Discounts, and Process Quality Improvement in a Two-Echelon Supply Chain Management under a Service-Level Constraint

Energies ◽  
2019 ◽  
Vol 12 (19) ◽  
pp. 3733 ◽  
Author(s):  
Irfanullah Khan ◽  
Jihed Jemai ◽  
Han Lim ◽  
Biswajit Sarkar
Keyword(s):  
Supply Chain ◽  
Quality Improvement ◽  
Energy Consumption ◽  
Cost Reduction ◽  
Electrical Energy ◽  
Service Level ◽  
Chain Model ◽  
Electrical Energy Consumption ◽  
Setup Cost ◽  
Setup Cost Reduction

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.

A neoteric approach to geometric shipment policy in an integrated supply chain with setup cost reduction and freight cost using service level constraint

2020 ◽  
Vol 54 (3) ◽  
pp. 653-673
Author(s):  
Selvaraj Hemapriya ◽  
Ramasamy Uthayakumar
Keyword(s):  
Supply Chain ◽  
Cost Reduction ◽  
Transportation Cost ◽  
Service Level ◽  
Setup Cost ◽  
Transportation Modes ◽  
Controllable Lead Time ◽  
Integrated Supply Chain ◽  
The Impact ◽  
Setup Cost Reduction

This paper explores a neoteric approach to geometric shipment policy and concerns the impact of controllable lead time, setup cost reduction, lost sales caused by stock-out and freight cost within an integrated vendor–buyer supply chain configuration using service-level constraint. In particular, the transportation cost is a function of shipping weight, distance and transportation modes. In other words, truckload (TL) and less-than-truckload (LTL) shipments. A heuristic model is developed to minimize the joint expected total cost (JETC), when the mode of transportation is limited to TL and LTL shipments. Numerical examples including the sensitivity analysis with some managerial insights of system parameters is implemented to endorse the outcome of the supply chain models.

scholarly journals Effective Investment to Reduce Setup Cost in a Mixture Inventory Model Involving Controllable Backorder Rate and Variable Lead Time with a Service Level Constraint

2012 ◽  
Vol 2012 ◽  
pp. 1-15 ◽  
Author(s):  
Hsien-Jen Lin
Keyword(s):  
Cost Reduction ◽  
Lead Time ◽  
Service Level ◽  
Inventory Model ◽  
Optimal Order ◽  
Order Quantity ◽  
Setup Cost ◽  
System Parameters ◽  
Decision Variables ◽  
The Impact

This paper investigates the impact of setup cost reduction on an inventory policy for a continuous review mixture inventory model involving controllable backorder rate and variable lead time with a service level constraint, in which the order quantity, setup cost, and lead time are decision variables. Our objective is to develop an algorithm to determine the optimal order quantity, setup cost, and lead time simultaneously, so that the total expected annual cost incurred has a minimum value. Furthermore, four numerical examples are provided to illustrate the results, and the effects of system parameters are also included for decision making.

Sign in / Sign up

Export Citation Format

Share Document