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...

This paper develops a model for the closed-loop supply chain network design with disruption risk. By considering supply disruption, two factors including extra inventory and lateral transshipment are used as resilience strategies. The main purpose is to reduce the supply chain costs due to the location decisions, quantity of products between different levels and lost sale. Disruption in a suppl...

the supply chain represents the critical link between the development of new product and the market in pharmaceutical industry. over the years, improvements made in supply chain operations have focused largely on ways to reduce cost and gain efficiencies in scale. in addition, powerful regulatory and market forces have provided new incentives for pharmaceutical firms to basically rethink the wa...

data envelopment analysis (dea) is a nonparametric technique that includes models to evaluate the relative efficiency of decision making units (dmus). it has the ability to separate efficient units and inefficient units. one of the applications of this mathematical technique is evaluating performance of supply chain. according to such as the inefficiency factors of one dmu, is existence congest...

the purpose of this research was identifying socio-economic characteristics affected on respondents’ participation in contract farming. the survey was conducted using structured questionnaire in populous states namely kedah, kelantan, terengganu, pahang, perak, selangor and johor in peninsular malaysia. a total of one-hundred and sixty seven ffv farmers were randomly selected and personally int...

in this study, a new stochastic model is proposed to deal with a multi-product, multi-period, multi-stage, multi-site production and transportation supply chain planning problem under demand uncertainty. a two-stage stochastic linear programming approach is used to maximize the expected profit. decisions such as the production amount, the inventory level of finished and semi-finished product, t...

the study determined optimum inventory levels for various bakery resources using the bread supply chain network in onitsha city. structured questionnaires were administered among bakery factories. the optimum design achieved through the optimization model was compared with the existing systems. analysis of 90 bakeries with a combined capacity of 3960 revealed that total money n 564,408,477.28 i...

this study aims to minimize the total cost of a four-echelon supply chain including suppliers, an assembler, distributers, and retailers. the total cost consists of purchasing raw materials from the suppliers by the assembler, assembling the final product, materials transportation from the suppliers to the assembler, product transportation from the assembler to the distributors, product transpo...

we model a real-world case problem as a price competition model between two leader-follower supply chains that each of them consists of one manufacturer and one retailer. t he manufacturer produces partially differentiated products and sells to market through his retailer. the retailer sells the products of manufacturer to market by adding some values to the product and gains margin as a fracti...