The dynamic demand game: a Markov state fictitious play approach to a two-echelon supply chain problem under demand uncertainty

2012 ◽  
Vol 10 (3) ◽  
pp. 319 ◽  
Author(s):  
Diana G. Ramí ◽  
N.A. rez ◽  
Julio Mario Daza Escorcia ◽  
Javier Visbal Martinez ◽  
Carlos D. Paternina Arboleda ◽  
...  
Keyword(s):  
Supply Chain ◽  
Demand Uncertainty ◽  
Fictitious Play ◽  
Dynamic Demand ◽  
Markov State ◽  
Chain Problem

Protecting Brand Value through Anticounterfeiting Supply Chain Strategies

2020 ◽  
Author(s):  
Robert B. Handfield ◽  
Anand Nair
Keyword(s):  
Supply Chain ◽  
Return On Investment ◽  
Performance Metrics ◽  
Brand Value ◽  
Legal Problem ◽  
Business Objectives ◽  
Global Problem ◽  
Trademark Registration ◽  
Business Functions ◽  
Chain Problem

Counterfeiting is a problem many companies do not want to acknowledge or talk about. However, ignoring the problem is likely to have the effect of encouraging counterfeiters to go unchecked. A multilayered strategy that adopts several approaches and engages the entire organization is needed to address the counterfeiting problem. This chapter provides a set of recommendations to address the issue of counterfeiting. Initially, the size of the problem must be estimated and the return on investment approximated. This can help define the need for a team of experts to work in this area, leading to a set of performance metrics that are aligned with business objectives and outcomes. Next, the key focal product segments should be targeted and a system for identifying products through product trademark registration with customs authorities should be completed. In the end, combating counterfeiting is not a supply chain problem, it is not a legal problem, nor is it a packaging and covert marking problem. It is a global problem—one that impacts all organizations, large and small. All business functions need to be part of the discussion, not just a single brand security function. Failure to approach counterfeiting in this manner will simply allow the problem to continue to grow.

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
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