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Inventory regulation and control to a desired time-varying inventory level is accomplished via an accurate on line observer-based demand rate estimation, followed by a demand rate satisfaction effort incorporated on the production rate decision rule. An extended demand rate observer is shown to efficiently allow for production rate to accurately match highly fluctuating uncertain demand rates, with...
Supply chain risk management is one of significant issues in the design and operations of supply chains. It is well-known that leader-follower relationship influences the decision making of decentralized supply chains. In this paper, we address a game theoretical analysis of the leadership structure in the decentralized supply chain with risky supplier under demand uncertainty. The risky supplier...
Industrial innovation platform is the engine of China's industrial structure transformation and upgrading in the new era and how to protect the interests of the cooperative units in the platform is an important factor to ensure the stable operation of the entire platform. Cooperative interest distribution is a complete and complex system engineering, which needs to consider the input, output, risk,...
Flood risk and supply chain resilience have emerged as a key management concern, due to global sourcing and globalization of supply chain. This study aims to develop a framework to identify important factors for the establishment of flood-resilient supply chain. The framework is formulated based on the concept of resilience triangle and the distinctive characteristics of flood disaster. The relevant...
We investigates a two-echelon supply chain with one risk-natural supplier and one loss-averse retailer where there is one short life cycles product with stochastic demand. The loss-averse preference is adopted to describe the retailer's decision-making behavior. We introduce a combined contract by organically combining the quantity flexibility contract and the buy-back contract with this issue. It...
From the theoretical point of view, in the case of uncertain factors, the paper study the optimal pricing strategy of the delivery platform under Stackelberg game model. Through numerical experiments, the change of uncertain factors is studied, the results show that the takeaway platform operators will benefit from lower uncertain degrees of the merchant's cost and takeaway platform operators' substitutability.
The paper investigates a two-echelon fresh agricultural products supply chain(FAPSC) consisting of a supplier and a retailer in which the demand of the retailer is both price and quality sensitive. The wholesale price contract and the option contract based on fresh agricultural products quality is researched. The optimal decisions of the FAPSC with and without option contract are analyzed. The result...
The purpose of this paper is to quantify the effect of design parameters on the bullwhip effect and dynamic responses produced by a multi-echelon supply chain with different information-sharing strategies. An effective and efficient supply chain strategy should be capable of reducing costs and enhancing customer service level, and should be capable of enhancing the robustness of the supply chain....
We consider a three-tier supply chain with an original equipment manufacturer (OEM, the fashion brand), a contract manufacturer (CM), and a material supplier. There exist two typical outsource structures: control and delegation, where control refers to that the OEM only outsources products production to the CM, while delegation refers to that the OEM outsources both products production and materials...
Considering the uncertainty marketing prediction of product, the fuzzy function is used to describe the demand in this paper. Firstly, the decentralized and centralized decision models were established with fuzzy demand description on the basis of Vendor Managed Inventory Consignment (VMCI), the aims of these models are to find the optimal consignment inventory quantity and the expected profits of...
Nowadays, E-Commerce has become the main choice of consumers. However, online consumers are more likely to be affected by other consumers. And In this condition supply chain decision-making are need to be discussed. We build a two-period supply chain model based on e-platform, and the willingness for purchase will influenced by former period's sales rate. Decision-making are discussed in both certainty...
Managing the distribution process for perishable product is quite challenging. This study extends a classical vehicle routing problem with time windows and time dependent travel time. It consider the uncertainty of perishable products' characteristics in the delivery process through balancing the load in each vehicle. This multi-objective balance cargo vehicle routing problem with time windows and...
Solar Photovoltaic (PV) system is considered as one of the most important renewable energy sources as global community pledging to reduce greenhouse gas (GHG). However, there is environment cost for producing PV systems, including all carbon emissions generated from all phases of manufacturing supply chain. Thus, energy payback time (EPBT) has become important criteria to evaluate the performance...
In this paper, we argue that cost leader supply chain (or Defender SC) has more finance and production related integration; whereas differentiator supply chain (or Prospector supply chain) has more marketing and R & D related supply chain integration. If supply chain members have similar strategies and strategic decision making processes, it leads to better supply chain integration. We also relate...
This paper deals with the supply planning for two level assembly systems under stochastic lead time and random failure machine. The objective is to determine the optimal supply planning of the assembly system while considering the maintenance actions and then to study their impact on the optimal release dates for the components at level 2. The optimal supply planning minimizes the total cost which...
This paper aims at presenting the new 2-stage framework of Robust Optimization for Lean Supply Chain design under uncertainty by using the so-called Dual Lean Filter. First, we formulate one quantitative model of Fat Supply Chain in stable circumstance based on the six-performance drivers of Chopra and Meindl, (2013). Then, we propose one novel procedure called Forward Lean Filter in order to transform...
The relationship between manufacturer and supplier in the automotive industry involves process of knowledge sharing. Knowledge sharing is an important process that may improve manufacturer and supplier performances. In a co-opetition business environment, companies tend to limit knowledge sharing, if they regard their partners as potential competitors. Trust is used to reflect the level of co-opetition...
This paper is framed on one of the important decisions in Inventory Optimization (IO), optimizing the “excess” inventory, the safety stocks in Winery Supply Chains (WSCs). The developed generic mixed integer safety stock optimization model integrates selected external (tax rates, inflation and time value of money) and internal (amelioration of wine) characteristics of WSCs together with high demand...
Several stakeholders are increasingly interested in operational risks and their impact on key business projects such as outsourcing projects. To guide stakeholders and project managers to take decisions related to the outsourcing of one or multiple activities, we propose a decision support system for classifying organizational risks, as example of operational risks, into different risk categories...
This paper addresses a single-period dual sourcing problem with real option under uncertain supply and demand. A retailer, who faces the uncertain market demand, can source from a low-price but unreliable supplier and an expensive but reliable supplier. In order to manage the supply uncertainties and decrease the cost, the retailer orders product from the unreliable supplier and buys option from the...
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