نتایج جستجو برای: supply network configuration

تعداد نتایج: 925780  

Journal: :مهندسی صنایع 0
هاشم عمرانی استادیار گروه مهندسی صنایع، دانشگاه صنعتی ارومیه، ارومیه، ایران فرزانه ادبی کارشناس ارشد مهندسی صنایع، دانشگاه صنعتی ارومیه، ارومیه، ایران

one of the most important decisions in supply chain network (scn) design is choosing the optimal location for the facilities. the facilities in scn have different efficiency according to their locations. in this paper, efficiency of facilities is added to the supply chain network design by using data envelopment analysis model, and a multi-objective model is presented for the design of efficien...

Managing income is a considerable dimension in supply chain management in current economic atmosphere. Real world situation makes it inevitable not to design or redesign supply chain. Redesign will take place as costs increase or new services for customers’ new demands should be provided. Pricing is an important fragment of Supply chain due to two reasons: first, represents revenue based ...

Journal: :IEEE Trans. VLSI Syst. 1999
Manish Goel Naresh R. Shanbhag

In this paper, dynamic algorithm transformations (DAT’s) for designing low-power reconfigurable signal-processing systems are presented. These transformations minimize energy dissipation while maintaining a specified level of mean squared error or signal-to-noise ratio. This is achieved by modeling the nonstationarities in the input as temporal/spatial transitions between states in the input st...

In this study, a new configuration of heat pipes as Heat Pipe Network is introduced. Here, the heat pipe network is designed, constructed and then has been under the performance assessment. This heat pipe network consists of 4 vertical heat pipes connected to evaporator collector from bottom and condenser collector from top. In order to investigate the effect of nanofluids on the thermal effici...

2004
Ranjit K. Singh Hessam S. Sarjoughian Gary W. Godding

Modeling of manufacturing processes plays a key role in analysis and design of semiconductor supply chain networks. As the scale and subsequently complexity of a supply chain network grows, the characterization of its process model which consists of physical elements (e.g., assembly test and semi-finished goods) becomes highly important. In particular, it is essential to employ a modeling appro...

2011
Josefa Mula Manuel Díaz-Madroñero David Peidro

In this article, a conceptual model, called MRP IV, is proposed in order to serve as a reference to develop a new production technology that integrates material planning decisions, production resource capacities and supply chain transport for the purpose of avoiding the suboptimization of these plans which, today, are usually generated sequentially and independently. This article aim is twofold...

The development of optimization and mathematical models for closed loop supply chain (CLSC) design has attracted considerable interest over the past decades. However, the uncertainties that are inherent in the network design are challenging the capabilities of the developed tools. In CLSC Uncertainty in demand is major source of uncertainty. The aim of this paper, therefore, is to present a Rob...

2010
C. N. Verdouw

Key challenge for mastering high uncertainty of both demand and supply is to attune products and business processes in the entire supply chain continuously to customer requirements. Product configurators have proven to be powerful tools for managing demand uncertainty. This paper assesses how configurators can be used for combined product and process configuration in order to support mastering ...

Journal: :Computers & Industrial Engineering 2013
Isabel Correia M. Teresa Melo Francisco Saldanha-da-Gama

This paper addresses a new problem to design a two-echelon supply chain network over a multi-period horizon. Strategic decisions are subject to a given budget and concern the location of new facilities in the upper and intermediate echelons of the network as well as the installation of storage areas to handle different product families. A finite set of capacity levels for each product family is...

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