Supply chains often experience significant economic disruptions, as in the case of facility breakdowns, transportation mishaps, natural calamities, and terrorist attacks. We collaborated in a study of such disruptive events as part of an initiative by Sandia National Laboratories. We conducted case studies of three electronics firms and their suppliers to explore underlying aspects of the suppl...

companies strive to improve market share, grow corporate profit, and gain strategic advantage. in order to achieve these goals, supply chain competency must be placed at the heart of a company’s business model. using e-commerce and information and communication technologies (ict) in today’s changing demands of business has made organizations more responsive and flexible. e-commerce and internet...

Supply Chain management, the management of the flow of goods or services from materials stage to the end user, is a complex process because of the level of uncertainty at each stage of the supply chain. Computer simulation, because it can be applied to operational problems that are too difficult to model and solve analytically, is an especially effective tool to help analyze supply chain logist...

Number: 011-0231 Healthcare Supply Chain modeling: a conceptual framework D. BATTINI (*), M. FACCIO (**), A. PERSONA (*) (†), F. SGARBOSSA (*) (*) Department of Management and Engineering, University of Padova, Stradella San Nicola, 3 36100 Vicenza – Italy (**)Department of Innovation in Mechanics and Management, University of Padova, Via Venezia 1, 35131, Padova, Italy (†) Corresponding author...

One of the primary objectives of supply chain (SC) information support system is to develop a conceptual design of organizational and process knowledge models which facilitate optimal SC management (SCM). The SC knowledge modeling consists of two components: (1) modeling SC workflows and (2) capturing and organizing knowledge necessary for managing them. Workflow modeling deals with handling ac...

Fuzzy linear symmetrical bi-level programming is the most extensive problem in multi-level programming. A new method based on tolerance degree has been introduced in this paper. The method mainly concerns the modeling of complicated Supply Chain with bi-level Stackelberg structure. We analyze the reason lead to uncertainties in supply chain, summarize methods of dealing with uncertainties, and ...

The emerging electronic commerce and rapidly changing business environments place strong requirements on a next-generation supply-chain analyzer to simulate the flow of goods through the entire supply chain in a timely manner. Such requirements include scalable and efficient model execution and support for flexible future extensibility based on an open industry standard. This paper presents des...

nowadays, many organizations deal with increasing competition and environmental uncertainty, which caused by innovations in technologies and customer needs change. in term of this condition and environment, old and traditional methods in supply chain has lost their efficiency. on efficient method in this regard is leagility. thus, to model the leagility of supply chain , numbers of research was...

Today’s supply chains characterize as high uncertainty, high customer expectations, and high vulnerability. Supply chain risk management (SCRM) has been an important area of supply chain management. Internal risks resulted from the interaction among supply chain members act as the major impact on supply chain coordination, but they are difficult to be modeled and analyzed if using traditional m...

Based on the research project titled “AdaptivePlanningandControlofSupplyChaininOne-of-a-kind Production”, the research group performed a systematicreview ofsupply chain integration, riskprediction and control and traceability. Studies of a computer-aided and integrated production system for cost-effective OKP systemare included. Our efforts relevant to integration of supply chain in OKP, modeli...