Mehdi Seifbarghy, Faculty Member of Alzahra University

وکتور پیکان سه بعدی  Main areas of teaching and research

1- Location of facilities

2- Supply chain management

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وکتور پیکان سه بعدیOther areas of teaching and research

 1- Decision analysis

 2- Planning and controlling production and inventories

 3- Evaluation of work and time

 4- Specialized language of industrial engineering

 5- Marketing management

 

وکتور پیکان سه بعدی  My new course syllabus:

Course title: Planning systems modeling in supply chain management

Course Precedence: Supply chain management and logistics’ concepts

Objective: In this course, supply chain planning modules in terms of the supply chain functions will be introduced and then different mathematical models using the state-of-the-art researches will be presented.

Necessity: Most of the researches on supply chain planning is done based on the mathematical models of operations research. Students may be familiar with some the traditional versions of these models previously such as aggregate planning and facility location; however, it is required to know them in the framework of supply chain management and integration. This course can make clear the position of very different mathematical models of the supply chain in the supply chain planning matrix and can improve the capabilities of modeling for the learners.  

The addressed learners: Postgraduate students of Industrial Engineering, Engineering Management, Industrial Management

Student learning assessment: A part of the assessment is based on the weekly given practices to be solved manually or by using optimization packages. Other part is based on the class presentations (at most 20 minutes for each learner) and the final exam.

Required facilities: Computer, video projection and whiteboard

Timing: can be arranged with the university for three hours per week

Instructor: Dr Mehdi Seifbarghy

Associate Professor of Industrial Engineering in Alzahra University

Email: M.Seifbarghy@alzahra.ac.ir

Personal home page: http://staff.alzahra.ac.ir/seif/en

Table of Contents:

Value chain modules and concepts

Session 1

Supply chain position in value chain and supply chain planning matrix

Session 2

Production distribution coordination models

Session 3

Multi-objective Location-allocation models in supply chain

Session 4

Closed-loop supply chain models

Session 5

Scenario-based closed-loop supply chain models

Session 6

Robust closed-loop supply chain models

Session 7

Supplier selection and order allocation models

Session 8

Contracts modeling in centralized/decentralized supply chain

Session 9

Contracts modeling in green supply chain with revenue sharing contracts

Session 10

Extended coordination problems: Location-inventory-routing

Session 11

Supply chain modeling using Robust possibilistic Programming

Session 12

Multi-site aggregate planning models

Session 13

A review on heuristic methods for solving supply chain

Session 14

A review on meta-heuristic methods for solving supply chain

Session 15

A review on “GAMS” and “Solver of Excel” optimization package

Session 16

 

References:

  1. Stadtler, H. and Kilger, C. (2005). Supply chain management and advanced planning; concepts, model, software and case studies. Third Edition, Springer.
  2. Jayaraman, V. and Pirkul, H. (2001). Planning and coordination of production and distribution facilities for multiple commodities. European Journal of Operational Research, 133, 394-408.
  3. Latha Shankar, B., Basavarajappa, S., Chen, J.C.H. and Kadadevaramath, R.S. (2013). Location and allocation decisions for multi-echelon supply chain network- A multi-objective evolutionary approach. Expert Systems with Applications, 40, 551–562.
  4. Hassanzadeh Amin, S. and Zhang, G. (2013). A multi-objective facility location model for closed-loop supply chain network under uncertain demand and return. Applied Mathematical Modelling, 37, 4165–4176.
  5. Ruimin, M.A., Lifei, Y.A.O., Maozhu, J.I.N., Peiyu, R.E.N. and Zhihan, L.V. (2015). Robust environmental closed-loop supply chain design under uncertainty. Chaos, Solitons and Fractals, 000, 1-8.
  6. Seifbarghy, M. and Esfandiari, N. (2013). Modeling and solving a multi-objective supplier quota allocation problem considering transaction costs. Journal of Intelligent Manufacturing, 24, 201-209.
  7. Song, H. and Gao, X. (2018). Green Supply Chain Game Model 1 and Analysis under Revenue-sharing Contract. Journal of cleaner Production, 170, 183-192.
  8. Hiassat, A., Diabat, A. and Rahwan, I. (2017). A genetic algorithm approach for location-inventory-routing problem with perishable products. Journal of Manufacturing Systems, 42, 93–103.
  9. Mirzapour Al-e-hashem, S.M.J., Malekly, H. and Aryanezhad, M.B. (2011). A multi-objective robust optimization model for multi-product multi-site aggregate production planning in a supply chain under uncertainty. International Journal of Production Economics, 134, 28–42.
  10. Pishvaee, M.S., Razmi, J. and Torabi, S.A. (2012). Robust possibilistic programming for socially responsible supply chain network design: A new approach. Fuzzy Sets and Systems, 206, 1–20.