scholarly journals Sustainability Analysis and Buy-Back Coordination in a Fashion Supply Chain with Price Competition and Demand Uncertainty

2016 ◽  
Vol 9 (1) ◽  
pp. 25 ◽  
Author(s):  
Fan Wang ◽  
Xiaopo Zhuo ◽  
Baozhuang Niu
Keyword(s):  
Supply Chain ◽  
Price Competition ◽  
Demand Uncertainty ◽  
Sustainability Analysis ◽  
Buy Back

Agency Costs in a Supply Chain with Demand Uncertainty and Price Competition

2005 ◽  
Vol 51 (1) ◽  
pp. 120-132 ◽  
Author(s):  
V. G. Narayanan ◽  
Ananth Raman ◽  
Jasjit Singh
Keyword(s):  
Supply Chain ◽  
Agency Costs ◽  
Price Competition ◽  
Demand Uncertainty

System dynamics modelling of fixed and dynamic Kanban controlled production systems: a supply chain perspective

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jagan Mohan Reddy K. ◽  
Neelakanteswara Rao A. ◽  
Krishnanand Lanka ◽  
PRC Gopal
Keyword(s):  
Supply Chain ◽  
System Dynamics ◽  
Cycle Time ◽  
Production System ◽  
Demand Uncertainty ◽  
Production Systems ◽  
Decision Variable ◽  
Content Type ◽  
Pull Production ◽  
Kanban System

Purpose Pull production systems have received much attention in the supply chain management environment. The number of Kanbans is a key decision variable in the pull production system as it affects the finished goods inventory (FGI) and backorders of the system. The purpose of this study is to compare the performance of the fixed and dynamic Kanban systems in terms of operational metrics (FGI and backorders) under the demand uncertainty. Design/methodology/approach In this paper, the system dynamics (SD) approach was used to model the performance of fixed and dynamic Kanban based production systems. SD approach has enabled the feedback mechanism and is an appropriate tool to incorporate the dynamic control during the simulation. Initially, a simple Kanban based production system was developed and then compared the performance of production systems with fixed and dynamic controlled Kanbans at the various demand scenarios. Findings From the present study, it is observed that the dynamic Kanban system has advantages over the fixed Kanban system and also observed that the variation in the backorders with respect to the demand uncertainty under the dynamic Kanban system is negligible. Research limitations/implications In a just-in-time production system, the number of Kanbans is a key decision variable. The number of Kanbans is mainly depended on the demand, cycle time, safety stock factor (SSF) and container size. However, this study considered only demand uncertainty to compare the fixed and dynamic Kanban systems. This paper further recommends researchers to consider other control variables which may influence the number of Kanbans such as cycle time, SSF and container size. Originality/value This study will be useful to decision-makers and production managers in the selection of the Kanban systems in uncertain demand applications.

A study on supply chain network with sharing logistics under demand uncertainty

2021 ◽  
Vol 2021 (0) ◽  
pp. 208
Author(s):  
Asumi ITO ◽  
Toshiya KAIHARA ◽  
Daisuke KOKURYO ◽  
Nobutada FUJII
Keyword(s):  
Supply Chain ◽  
Demand Uncertainty ◽  
Supply Chain Network

Reward-penalty mechanism in a closed-loop supply chain with sequential manufacturers' price competition

2017 ◽  
Vol 168 ◽  
pp. 118-130 ◽  
Author(s):  
Wenbin Wang ◽  
Lingling Fan ◽  
Peng Ma ◽  
Peng Zhang ◽  
Zhenye Lu
Keyword(s):  
Supply Chain ◽  
Price Competition ◽  
Closed Loop ◽  
Closed Loop Supply Chain
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