Supply Chain Coordination Problem Research Articles

Analysis of supply chain coordination under fuzzy demand in a two-stage supply chain

This paper considers a two-stage supply chain coordination problem and focuses on the fuzziness aspect of demand uncertainty. We use fuzzy numbers to depict customer demand, and investigate the optimization of the vertically integrated two-stage supply chain under perfect coordination and contrast with the non-coordination case. As in the traditional probabilistic analysis, we prove that the maximum expected supply chain profit in a coordination situation is greater than the total profit in a non-coordination situation.

Passover in Costa Rica

This simple case enables students to examine a supply chain coordination problem in the context of a two-level supply chain with a retailer and a supplier. The case examines a retailer’s decision about its optimal order quantity from his supplier and the difference between this decentralized decision and the coordinated decision achieved when the retailer and the supplier are part of the same company. The case then asks students to find the optimal supply chain contracts that will coordinate the supply chain. This case can be used to teach the newsvendor model and supply chain coordination and contracts in courses focusing on supply chain management or in operations management courses that include a supply chain module. It can be used together with Note on Optimal Ordering Strategies and Supply Chain Coordination (UVA-OM-1371).

An application of fuzzy set theory for supply chain coordination

One of the important issues in supply chain management is the coordination among different members of the supply chain. In this paper, we have studied a two-stage supply chain coordination problem under uncertain cost and demand information. The aim of the paper is to design a coordination mechanism through quantity discount policy under asymmetric information environment that allows the system to perform as closely as that of under complete information. Fuzzy set theory is applied to estimate the uncertainty associated with the input parameters and triangular membership function has been used to analyze the model. Finally, the model is illustrated with a suitable numerical example.

Präzisions-Forstwirtschaft – was ist das? | Precision forestry – what's that?

The term «precision forestry» was first introduced and discussed at a conference in 2001. The aims of this paper are to explore the scientific roots of the precision concept, define «precision forestry», and sketch the challenges that the implementation of this new concept may present to practitioners, educators, and researchers. The term «precision» does not mean accuracy on a small scale, but instead refers to the concurrent coordination and control of processes at spatial scales between 1 m and 100 km. Precision strives for an automatic control of processes. Precision land use differs from precision engineering by the requirements of gathering,storing and managing spatio-temporal variability of site and vegetation parameters. Practitioners will be facing the challenge of designing holistic, standardized business processes that are valid for whole networks of firms,and that follow available standards (e.g., SCOR, WoodX). There is a need to educate and train forestry professionals in the areas of business process re-engineering, computer supported management of business transactions,methods of remote sensing, sensor technology and control theory. Researchers will face the challenge of integrating plant physiology, soil physics and production sciences and solving the supply chain coordination problem (SCCP).

A CAS Approach for the Coordination and Optimization Problem in Supply Chains

The paper concentrates on the issue of coordination and combined optimization of supply chains. All the member has its own interests, so there are conflicts between members motive and overall system objective. In the paper CAS theory is used as standard paradigm and complexity of the supply chain is analyzed. Case study includes some extreme situations of the supply chain in different levels, namely optimization and coordination problem within operation layer, business layer and enterprise layer. From the study, some rules are summarized to study the problem.

Coordinating dyadic supply chains when production costs are disrupted

This paper studies a supply chain coordination problem under production cost disruptions. When a production cost disruption occurs, the coordination scheme designed for the initially estimated production cost needs to be revised. To resolve this issue, it is necessary to explicitly consider the possible deviation costs caused by any changes in the original production plan. How to model the production cost disruptions and their impacts, and how to design coordination schemes under disruptions is discussed. Results obtained under various scenarios including the cases of a single retailer and multiple retailers, the cases of linear and nonlinear demand-price functions, and different wholesale policies are presented.

The organizational perspective in supply chain management: an empirical analysis in Southern Italy

This paper addresses the supply chain (SC) co-ordination problem and emphasises the need to consider the involved organisational issues when dealing with it. In particular, the influence of the form of SC governance on the selection of SC co-ordination mechanisms is investigated. An empirical analysis on a sample of firms located in Southern Italy is carried out to study some theoretical assumptions. The latter are based on the available literature and suggest specific configurations of fit between the SC form of governance and the types of co-ordination mechanisms. In particular, we propose a conceptual model wherein the fit between the SC form of governance and the co-ordination mechanism is associated with a higher level of SC operational performance.

Strategic safety stocks in reverse logistics supply chains

In the last few years growing interest has been dedicated to supply chain management. Modeling complexity is added to the supply chain coordination problem by accounting for reverse logistics activities. An increasing number of ecological constraints, together with economic incentives, allows product recovery become an interesting field in supply chain management. Limitations, enormous waste and by-product disposal cost, the duty for manufacturers to take back used products from customers and the fact that returned products might have a positive economic value are some of the reasons. The objective of this paper is to combine the problem of safety stock planning in a general supply chain with the integration of external and internal product return and reuse.