Scalable methodology for supply chain inventory coordination with private information

Chu, Chi-Leung; Leon, V. Jorge

doi:10.1016/j.ejor.2008.01.046

Cited by 14 publications

(5 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Terry A et al, [3] have studied about supply chain relation and contract the impact of repeated interaction on capacity investment and procurement. Chi-Leung Chu and Jorge Leon [4] has presented in their literature on scalable methodology for supply chain inventory coordination with private information. They considered the problems of coordinating serial and assembly systems with private information where end item demands are known a finite horizon.…”

Section: Literature Reviewmentioning

confidence: 99%

A Proposed Supply Chain Model for Productivity Enhancement in Medium Scale Foundry Industries

Nallusamy

Umarmukdhar

Rekha

2015

JERA

View full text Add to dashboard Cite

In global competitive atmosphere, foundry industries are needed to perform efficiently with minimum percentage of rejections there by reducing cost of manufacturing. Foundries are using state of art processes with the involvement of experienced and knowledgeable people but the experience and knowledge needs to be transformed for the growth of the industries. Some foundries are working in a trial and error mode and get their work done. Many foundries have very less control on the rejections since they are in critical need of meeting production targets and they ignore the rejections and recover the castings. They need to have an efficient quality control aspiring for defects free castings with minimum production cost. Strategic decision makers need extensive models to guide them for efficient decision making that increases their profitability of the entire chain. The noval idea of this research is to investigate the various defects of cast iron foundry and suggest remedies for the defects in a day to day activity and propose a supply chain model to present the necessity of quality in a medium scale industry of cast iron foundry under different delay conditions, rejection rates and also various other factors. The results of the proposed model have been discussed and confirmed based on the original results of an industry. This research is also inspects the relationship between supply chain processes and quality as a key role in supply chain management.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

A Proposed Supply Chain Model for Productivity Enhancement in Medium Scale Foundry Industries

Nallusamy

Umarmukdhar

Rekha

2015

JERA

View full text Add to dashboard Cite

show abstract

“…In this case the goal is not eliciting the missing information, but the cooperative iterative improvement of the supply chain plan by non-hierarchical players. For uncapacitated dynamic lot-sizing in assembly networks Chu and Leon [8] present an iterative planning procedure. For the finite capacity case Dudek and Stadtler [13] developed a solution.…”

Section: Game Theorymentioning

confidence: 99%

An inverse economic lot-sizing approach to eliciting supplier cost parameters

Egri

Kis

Kovács

et al. 2014

International Journal of Production Economics

View full text Add to dashboard Cite

Recent literature on supply chain coordination offers a wide range of game theoretic and optimization approaches that ensure efficient planning in the supply chain, but assume that the involved parties have complete information about each other. However, in reality, complete information is rarely available, and those models alone do not present any incentive for the parties to reveal their private information, e.g., the cost parameters that they use when solving their planning problems. This paper proposes an inverse lot-sizing model for eliciting the cost parameters of a supplier from historic demand vs. optimal delivery lot-size pairs, gathered during repeated earlier encounters. It is assumed that the supplier solves a single-item, multi-period, uncapacitated lot-sizing problem with backlogs to optimality to calculate its lot-sizes, and the buyer is aware of this fact. The inverse lot-sizing problem is reformulated to an inverse shortest path problem, which is, in tu rn, solved as a linear program. This model is used to compute the ratios of the supplier's cost parameters, i.e., the setup, the holding, and the backlog cost parameters consistent with all the historic samples. The elicited cost parameters can be used as input for various game theoretic or bilevel optimization models for supply chain coordination. Computational experiments on randomly generated problem instances indicate that the approach is very efficient in predicting future supplier actions from the historic records

show abstract

“…[13] has proposed Secure Supply Chain Collaboration (SSCC) problem, and developed SSCC protocols for simple e-Auction scenarios and simple capacity allocation problem. [14][15][16] have proposed privacy preserving coordinating model chain based on common replenishment epoch with a deterministic demand could allow supply chain collaborations to take place without revealing any participant's data to the others, but as far as we know, no cases involve privacy preserving supply chain coordination with a probabilistic demand which follows normal distribution.…”

Section: Related Workmentioning

confidence: 99%

Privacy Preserving Coordinating Model in Lot to Lot Supply Chain Based on Common Replenishment Epoch

Zhong¹,

Xie²,

Zhang³

2010

AMM

View full text Add to dashboard Cite

One of the important streams of research in supply chain management is the coordination between suppliers and retailers by varying the lot-size and the purchase price and common replenishment epoch (CRE). But most of the CRE solutions either assume existence of a central planner who has all the information about the system, or assume that each participant of the computation shares all of his information with other participants. These solutions are problematic when the data is sensitive and the participants are reluctant to share their private information. The development and deployment of privacy preserving coordinating model in lot to lot supply chain based on common replenishment epoch could allow supply chain collaborations to take place without revealing any participant's data to the others, reaping the benefits of collaboration while avoiding the drawbacks. In this paper, we develop and apply secure minimum sum of multi-dimensional protocol to the problem of coordinating a single-vendor multi-retailer inventory system with a probabilistic demand which follows normal distribution, where the objective is to find a CRE policy for each facility in the system such that the total average ordering and inventory-related cost of the entire system is minimized.

show abstract

Scalable methodology for supply chain inventory coordination with private information

Cited by 14 publications

References 14 publications

A Proposed Supply Chain Model for Productivity Enhancement in Medium Scale Foundry Industries

A Proposed Supply Chain Model for Productivity Enhancement in Medium Scale Foundry Industries

An inverse economic lot-sizing approach to eliciting supplier cost parameters

Privacy Preserving Coordinating Model in Lot to Lot Supply Chain Based on Common Replenishment Epoch

Contact Info

Product

Resources

About