Spare Parts Supply Chain Shipment Decision Making in a Deterministic Environment
Modern Management Science & Engineering
View Archive InfoField | Value | |
Title |
Spare Parts Supply Chain Shipment Decision Making in a Deterministic Environment
|
|
Creator |
Epstein, Jonathan
Ivry, Oded |
|
Description |
Determining the optimal lot size is a well discussed problem across many industries. This paper suggests a deterministic approach to shipment decision taking in a deterministic environment of spare parts supply chain. The model considered a deterministic forecast for the incoming faulty units. An objective function was modeled by taking in consideration three main elements: the number of malfunctioned units, the shipping cost and the storage cost. A deterministic forecast allowed calculating the cost effective schedule of shipments and its lot sizes. The purpose of this paper it to study the reverse logistics supply chain of a typical telecom devices company (that offers warranty/repairing services) and try to reduce its transportation and handling costs in order to bring added-value to the customer and by doing so, expand the competitive advantage of the company.
|
|
Publisher |
SCHOLINK INC.
|
|
Contributor |
Amir Elalouf, Barilan University
|
|
Date |
2017-03-08
|
|
Type |
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion Peer-reviewed Article |
|
Format |
application/pdf
|
|
Identifier |
http://www.scholink.org/ojs/index.php/mmse/article/view/808
|
|
Source |
Modern Management Science & Engineering; Vol 5, No 1 (2017); p1
2052-2576 |
|
Language |
eng
|
|
Relation |
http://www.scholink.org/ojs/index.php/mmse/article/view/808/873
|
|
Rights |
Copyright (c) 2017 Modern Management Science & Engineering
|
|