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Abstract:
The fierce competition in today’s markets and the swift changing of customers’ preferences, together with the rapid development of technology and globalisation, have forced organisations to operate as members of a supply chain (SC) instead of acting as individual enterprises. Supply Chain Network generally are composed of four main entity types: supplier,production centers, distribution centers and demand zones, that consists of facilities or entities whose activities involve the transformation of raw materials into finished products that are later delivered from the supplier to the end customer. Problems in supply chain consider in three levels, strategic level or long-range, tactical level or medium-range planning and operational level or short-range planning. Strategic planning involves decisions about company selection and facility location; tactical planning involves decisions about production, inventory, and logistics, operational planning involve within day or shift decisions such as routing and scheduling. . Supply chain network design as the most important strategic decision in supply chain management, plays an important role in overall environmental and economic performance of the supply chain. In general, supply chain network design includes determining the locations, numbers and capacities of network facilities and the aggregate material flow between them. The nature and complexity of today’s supply chains network make them vulnerable to various risks. One ofmost important risk that considered in this paper is disruption risk. Supply chain disruption, particularly, is defined as an event that interrupts the material flows in the supply chain, resulting in an abrupt cessation of the movement of goods. Disruption Management (DM) is a line of study that has recently gained the interest of researchers. One of the goals of DM is to implement the correct strategies that will enable the SC to quickly return to its original state, while minimizing the relevant costs associated with recovery of the disruptionRecovery time of disrupted facilities and return it to normal condition can be important factor for member of supply chain. In this paper we present a bi- objective model for reliable supply chain network design and for solving this model we applied two approaches. ? constraint method as an exact method and non- dominated sorting genetic algorithm(NSGAII) as a meta-heuristic method.
Keywords:
Bi-objective Programming, Supply Chain Network Design, Reliable, Disruption Risk, Recovery Time, Meta-heuristic Algorithm
1- Suppliers
2- Manufacturers
3- Distribution centers
4- Demand Zones
5- Disruption
1- Supply Chain
2- Supply Chain management
1- Network
2- Strategic
3- Tactical
4- Technological
5- Operational
1- Supply chain network design
2- Reliability
3- Robustness
4- Uncertainty
5- Configuration
6- Open
1- Close
1- Globalization of businesses
2- Lean
3- Vulnerable
4- Disturbance
5- Risk management
6- Vulnerability
1- Disruption risk
1- Excess stock
1- Kobe
1- Recovery
2- Lead time
1- Local Optimization
2- Outsourcing
1- Limited Buffers
1- Mitigation
2- Contingency
3- Resiliency
1- Redundancy
2- Duplication
3- Overlap
1- Reliable
2- Rerouting
1- Proactive
2- Reactive
3- Agility
1- Preventive
1- Just in time
1- Delay
2- Configuration
3- Radio frequency identification
1- validation
1- Mixed integer nonlinear programming
2- Tabu search
1- Forward logistic
2- Reverse logistic
3- Closed-loop
4- Disposal
1- Deterministic approach
2- Delivery time
3- Demand driven
4- Stochastic approach
1- Mixed integer linear programming
2- ? Constraint method
3- Forward flow
4- Decomposition method
1- Forward-reverse logistic
2- Memetic algorithm
3- Non-dominated
4- Dynamic reverse logistic
5- Simulated annealing
1- P-median
2- (p,q)-center location problem)
3- Uncapacitated fixed-charge problem (UFLP)
4- Redundancy
74 – bender decomposition
75 – bilevel
76 – decomposition method
77 – integrated
method constraint?1-
2- Range
1- Sub-problem
2- No feasible
3- Decision

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