Setting Order Promising Times in a Supply Chain Network Using Hybrid Simulation-Analytical Approach: an Industrial Case Study
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Date
2011
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier
Open Access Color
Green Open Access
No
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
Supply chain management (SCM) involves the management of material and information flow among the members of chain such as vendors, manufacturing plants and distribution centers. The main processes in supply chain are production planning, control, distribution and logistics. Effective management of all these processes provides the manufacturing companies great advantages in time based competition. In order to gain a competitive edge, firms must be able to deliver their products fast and on-time. This can be managed by better production planning, scheduling and due-date setting. This paper suggests a hybrid approach for setting realistic order due dates for a produce-to-order manufacturing company operating within a supply chain environment. The proposed hybrid approach combines mathematical and simulation modeling to bring together the advantages of both approaches. (C) 2011 Elsevier B. V. All rights reserved.
Description
Keywords
Supply chain optimization, Simulation, Mathematical programming, Production and distribution planning in supply chain network, Decision
Fields of Science
0209 industrial biotechnology, 0211 other engineering and technologies, 02 engineering and technology
Citation
WoS Q
Q1
Scopus Q
Q1

OpenCitations Citation Count
17
Source
Sımulatıon Modellıng Practıce And Theory
Volume
19
Issue
9
Start Page
1967
End Page
1982
PlumX Metrics
Citations
CrossRef : 17
Scopus : 16
Captures
Mendeley Readers : 62
SCOPUS™ Citations
16
checked on Mar 15, 2026
Web of Science™ Citations
12
checked on Mar 15, 2026
Page Views
11
checked on Mar 15, 2026
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