Spare parts are the critical operation asset for ensuring a production line keeps going, which significantly improves performance of manufacturing enterprises. This article pays attention to joint optimization spare part management and supply chain network in multiple periods. An extended (T, s, S) inventory control strategy is utilized manage customer nodes can determine time, consumption dema...

This paper studied pricing, service level, and production quantity decision problems in a supply chain with one manufacturer and one retailer under demand and production cost disruptions. The joint impact of demand and production cost disruptions on optimal pricing, service level, and production decisions in centralized and decentralized supply chain was analyzed, respectively. By solving the o...

We examine cooperative games in supply-chain management termed Inventory Games. Supply-chain management has non-cooperative and cooperative interactions between the participating players. We provide a concise survey of cooperative inventory games in the form of extensions on two basic problems. For deterministic games, Economic Order Quantity-like policies with joint replenishment are of primar...

Inventory management at a single or multiple levels of a supply chain is usually performed with computations such as Economic Order Quantity or Markov Decision Processes. The former makes many unrealistic assumptions and the later requires specialist Operations Research knowledge to implement. Dynamic Bayesian networks provide an alternative framework which is accessible to non-specialist manag...

For economic benefit of wind power generation, the equivalent conversion relationships and models between the different “quality” energy are studied deeply in the conversion processes of wind energy. Considering the effect of load demand characteristics and energy supply price on the wind energy utilization mode comprehensively, the multi-objective trans-utilization optimization model of wind e...

this paper presents a fuzzy decision-making approach to deal with a clustering supplier problem in a supply chain system. during recent years, determining suitable suppliers in the supply chain has become a key strategic consideration. however, the nature of these decisions is usually complex and unstructured. in general, many quantitative and qualitative factors, such as quality, price, and fl...

This paper presents a fuzzy decision-making approach to deal with a clustering supplier problem in a supply chain system. During recent years, determining suitable suppliers in the supply chain has become a key strategic consideration. However, the nature of these decisions is usually complex and unstructured. In general, many quantitative and qualitative factors, such as quality, price, and fl...

Nowadays, companies are collaborating and forming supply chain partnerships under a certain scheme, such as vendor-managed inventory scheme. The collaboration increases the chain’s visibility, which leads to cost efficiency. It may also contribute enhancing green performance. This paper presents model guide managers in making optimal decisions considering logistics carbon emissions. A ven...

Vendor-managed inventory (VMI) is a popular policy in supply chain management (SCM) to decrease bullwhip effect. Since the transportation cost plays an important role in VMI and because the demands are often fuzzy, this paper develops a VMI model in a multi-retailer single-vendor SCM under the consignment stock policy. The aim is to find optimal retailers' order quantities so that the total inv...