ORIGINAL_ARTICLE
A hybrid approach to supplier performance evaluation using artificial neural network: a case study in automobile industry
For many years, purchasing and supplier performance evaluation have been discussed in both academic and industrial circles to improve buyer-supplier relationship. In this study, a novel model is presented to evaluate supplier performance according to different purchasing classes. In the proposed method, clustering analysis is applied to develop purchasing portfolio model using available data in the organizational Information System. This method helps purchasing managers and analyzers to reduce model development time and to classify numerous purchasing items in a portfolio matrix. In this paper, Neural Networks are used to develop a purchasing classification model capable of classifying purchasing items according to different features. Moreover, a new supplier evaluation model based on different purchasing classes is developed using Neural Networks. The proposed hybrid method to develop purchasing portfolio and supplier evaluation is applicable in large scale manufacturing organizations which need to manage numerous purchasing items. The proposed model is implemented in an automaker purchasing department with a relatively vast supply chain and the results are presented.
https://www.jise.ir/article_8732_6362d0e3a312ed9d148441079b6add20.pdf
2015-02-01
1
20
Supplier performance evaluation
Purchasing portfolio model
Artificial Neural Network
Abbas
Ahmadi
abbas.ahmadi@aut.ac.ir
1
Department of Industrial Engineering and Management Systems, Amirkabir University of Technology, Tehran, Iran
LEAD_AUTHOR
Elahe
Golbabaie
egolbabaie@gmail.com
2
Department of Industrial Engineering and Management Systems, Amirkabir University of Technology, Tehran, Iran
AUTHOR
Aksoy, A., & Öztürk, N. (2011). Supplier selection and performance evaluation in just-in-time. Expert Systems with Applications, 38(5), 6351-6359.
1
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Bensaou, B. (1999). Portfolios of buyer–supplier relationships. Sloan Management Review, July 15.
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Caniels, M. C., & Gelderman, C. J. (2005). Purchasing strategies in the Kraljic matrix: A power. Journal of Purchasing & Supply Management, 11, 141-155.
4
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5
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Gelderman, C., & Van Weele, A. (2003). Handling measurement issues and strategic directions in Kraljic’s purchasing. Journal of Purchasing and Supply Management, 9, 207-216.
7
Ghodsypour, S. H., & O’Brien, C. (2001). The total cost of logistics in supplier selection, under conditions of multiple sourcing, multiple criteria and capacity constraint. International Journal of Production Economics, 73(1), 15-27.
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26
ORIGINAL_ARTICLE
The construction projects HSE performance evaluation considering the effect of external factors using Choquet integral, case study (an Iranian power plant construction company)
Nowadays, industrialization exposes the human and environment resources to serious dangers. The importance of these resources caused the HSE (health, safety and environment) to have a significant contribution in industries’ evaluation, especially in construction industry. While evaluating the project’s success from an HSE point of view, it is not enough to rely solely on the outputs without considering the impact of external factors affecting them. On the other hand, the variety of factors affecting HSE and their different kinds of interactions, forces us to use another aggregation operators rather than linear ones. Choquet integral (CI) is a well-known powerful aggregation operator to be used in such cases. There are different methods to define the coefficients of CI. One of the most recent and prominent methods is “the most representative capacity definition method”. This paper proposes a modification to this method by improving its entropy and consequently the reliability in, as named, non-reference projects evaluation. The modified algorithm is used in evaluating the impact of external factors on HSE performance of power plant construction projects. The results show the prominence of modified algorithm’s entropy compared to the original algorithm. Ultimately the external factors integrated score, which resembles the suitability of project’s environment, is compared with the score defined considering output results. According to results, in some projects there is a deep gap between score of HSE output result and aggregated score of external factors. The gap of two scores potentially figures the internal organizational factors performance.
https://www.jise.ir/article_8729_892660c4d4db366a3ba9db36abae4bec.pdf
2015-02-01
21
40
HSE
External Factors
Choquet integral
Entropy
Variance of capacity
Nasim
Nahavandi
n_nahavandi@modares.ac.ir
1
Department of Industrial engineering, Tarbiat Modares University
LEAD_AUTHOR
Roghayeh
Hemmatjou
r.hemmatjou@modares.ac.ir
2
Department of Industrial engineering, Tarbiat Modares University
AUTHOR
Behzad
Moshiri
moshiri@ut.ac.ir
3
CIPCE, School of Electrical & Computer Engineering, Tehran University Tehran, Iran
AUTHOR
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performance in Thai construction projects. Safety Science, 46(4), 709-727..
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integral, bipolar and level dependent Choquet integrals.
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An intuitionistic fuzzy Choquet integral operator based approach. Expert Systems with Applications, 39(3),
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3642-3649.
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97
ORIGINAL_ARTICLE
A multi-criteria decision making approach for priority areas selection in membrane industry for investment promotion: a case study in Iran Marketplace
Membrane technologies for the separation of mixtures have gained an extensive worldwide attraction in the modern industrialized world. They have many industrial and medical applications such as water desalination, wastewater reclamation, gas separation, food and medical applications. However, even though all these applications have their own efficiency and market, the selection of priority applications is very challenging for most developing countries. On the other hand, selecting the optimal priority applications among many alternatives is a multi-criteria decision-making (MCDM) problem. This paper develops an evaluation model based on the AHP and TOPSIS methods for evaluating and ranking membrane applications effectively. The AHP is used to analyze the structure of the selection problem and to determine the weights of the evaluating criteria. It is also used for evaluating the decision-making team members to determine the relative importance of each one of them. A modified technique is proposed to improve the consistency of judgment matrices; then Individual judgments are aggregated by using the weighted geometric mean to obtain the weights of criteria. The modified technique increases the accuracy of decisionmaking process and saves time to obtain consistent judgment matrices. Finally, the TOPSIS method is employed to calculate the final ranking of the membrane applications. For evaluating the performance and reliability of the proposed model, it is applied in a real case in IRAN.
https://www.jise.ir/article_8736_9b5f12fae0eb8cebf851b1fe3a10242d.pdf
2015-02-01
41
61
Membrane applications
Multi-criteria decision-making (MCDM)
AHP
TOPSIS
Iran Marketplace
Morteza
Rahmani
rahmanimr@jdsharif.ac.ir
1
Technology Development Institute (ACECR), Sharif university branch, Industrial Engineering Department
LEAD_AUTHOR
Bohlool
Ebrahimi
b.ebrahimi@aut.ac.ir
2
University of Science & Culture, Faculty of Basic Sciences and Advanced Technologies in biology
AUTHOR
Adhikari, S., Fernando, S. (2006).Hydrogen membrane separation techniques. Industrial
1
Engineering and Chemical Research, 45, 875-881.
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Amiri, P.M. (2010).Project selection for oil-fields development by using the AHP and fuzzy
3
TOPSIS methods.Expert Systems with Applications, 37, 6218–6224.
4
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5
(2008).Ultrafiltration as a pre-treatment of other membranetechnologies in the reuse of textile
6
wastewaters.Desalination, 221, 405-412.
7
Baker, R.W. (2004).Membrane technology and applications.John Wiley and Sons, 2nd Edition.
8
Behling,N. H. (2013).Fuel Cells, Current Technology Challenges and Future Research
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Needs.Chapter 7 – History of Proton Exchange Membrane Fuel Cells and Direct Methanol Fuel
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Technology in the Food Processing Industry.The Sixth Annual Membrane Technology/Planning
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Conference, Cambridge.
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comparisons in group decisions. European Journal of Operational Research, 240, 765–773.
16
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19
acceptance using a novel class of fuzzy methods based on TOPSIS.Expert Systems with
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fuzzy extended AHP-based approach. Omega, 35, 417-431.
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27
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28
environment.Fuzzy Sets and Systems, 114, 1–9.
29
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Advanced Manufacturing Technology, 20, 859–864.
31
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32
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33
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34
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35
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38
methods under fuzzy environment.Expert Systems with Applications, 36, 8143–8151.
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ORIGINAL_ARTICLE
A model of brand competition for durable goods supply chains in a dynamic framework
Game theory is an efficient tool to represent and conceptualize the problems concerning conflict and competition. In recent years and especially for durable products, competition between domestic and foreign brands for gaining market share has received a considerable attention. This paper study electronic commerce concepts by differential game theory and introduce a novel and comprehensive model for analyzing dynamic durable goods supply chains. Manufacturer of domestic brand as leader of the game announces his wholesale price to his retailer. Then the exclusive retailers of domestic and foreign brands play a Nash differential game in choosing their optimal retail prices and advertising efforts over time. Moreover, online pricing and advertising in a direct sales channel constitute other control variables of the manufacturer. Feedback equilibrium policies for the manufacturer and the retailers are obtained by assuming a linear demand function. A case study and sensitivity analysis are carried out to provide numerical results and managerial insights. We found that there is a reverse relationship between price sensitivity of demand and optimal levels of price and advertising efforts. Increase in advertising effectiveness parameter leads to enhancement of advertising efforts in relative marketing channel, but does not have a significant effect on pricing decisions.
https://www.jise.ir/article_8737_c44087c7bb0c438251914af43f2f376c.pdf
2015-02-01
61
85
Stackelberg differential game
Nash differential game
Durable products
Sales–advertising dynamics
Feedback equilibrium
Electronic Commerce
Mohammad
Shalchi Tousi
shalchi@ind.iust.ac.ir
1
Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
LEAD_AUTHOR
Mehdi
Ghazanfari
mehdi@iust.ac.ir
2
Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
AUTHOR
Ahmad
Makui
amakui@iust.ac.ir
3
Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
AUTHOR
Bass, F. M. (1969). A New Product Growth for Model Consumer Durables. Management Science, 15(5),
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215–227. doi:10.1287/mnsc.15.5.215.
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Chiang, W. K. (2012). Supply Chain Dynamics and Channel Efficiency in Durable Product Pricing and
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Distribution. Manufacturing & Service Operations Management, 14(2), 327–343.
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Chiang, W. K., Chhajed, D., & Hess, J. D. (2003). Direct marketing, indirect profits: A strategic analysis
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of dual-channel supply-chain design. Management Science, 49(1), 1–20.
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Chutani, A., & Sethi, S. P. (2012). Optimal advertising and pricing in a dynamic durable goods supply
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chain. Journal of Optimization Theory and Applications, 154(2), 615–643.
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Erickson, G. M. (1992). Empirical analysis of closed-loop duopoly advertising strategies. Management
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Science, 38(12), 1732–1749.
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goods supply chain. International Journal of Production Economics, 144(1), 135–142.
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marketing. Kluwer Academic Publishers, Boston.
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duopoly. European Journal of Operational Research, 200(2), 486–497.
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equilibrium of shelf-space allocation. Automatica, 41(6), 971–982.
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53
ORIGINAL_ARTICLE
EPQ model with scrap and backordering under Vendor managed inventory policy
This paper presents the economic production quantity (EPQ) models for the imperfect quality items produced with/without the presence of shortage condition. The models are presented in a two-level supply chain composed of a single manufacturer and a single buyer to investigate the performance of vendormanaged inventory (VMI) policy. The total costs are minimized to obtain the optimal production lot size and the allowable backorder level before and after applying VMI policy. Numerical examples and sensitivity analysis based on certain parameters are performed to show the capability of the proposed supply chain model enhanced with VMI policy.
https://www.jise.ir/article_8851_266e84e5254fe09d83e9e41a8235917d.pdf
2015-02-01
85
102
Economic production quantity (EPQ)
Vendor-managed inventory
(VMI)
Supply chain
Defective items
Maryam
Akbarzadeh
m.akbarzadeh66@yahoo.com
1
Department of Industrial Engineering, Alzahra University, Tehran, Iran
AUTHOR
Maryam
Esmaeili
esmaeili_m@alzahra.ac.ir
2
Department of Industrial Engineering, Alzahra University, Tehran, Iran
LEAD_AUTHOR
Ata Allah
Taleizadeh
taleizadeh@ut.ac.ir
3
School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran
AUTHOR
Bernstein, F., Chen, F., &Federgruen, A. (2006). Coordinating supply chains with simple pricing
1
schemes: the role of vendor managed inventories.Management Science, 52, 1483–1492.
2
Cárdenas-Barrón, L.E. (2000), Observation on: economic production quantity model for items
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with imperfect quality, [International Journal of Production Economics, 64, 59–64],International
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Journal of Production Economics, 67, 201.
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production system - a simple derivation.Computers & Industrial Engineering, 55,758–765.
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Cárdenas-Barrón, L.E., Taleizadeh, A.A., & Trevino-Garza, G. (2012). An improved solution to
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replenishment lot size problem with discontinuous issuing policy and rework, and the multidelivery
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policy into economic production lot size problem with partial rework. ExpSystAppl,
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39,13540–6.
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Cetinkaya, S., &Lee, C.Y. (2000). Stock replenishment and shipment scheduling for vendor
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managed inventory systems.Management Science, 46, 217–232.
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Darwish, M. A., &Odah, O. M. (2010). Vendor managed inventory model for single-vendor
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multi-retailer supply chains. European Journal of Operational Research, 204(3),473-484.
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Eroglu, A.,&Ozdemir,G. (2007).An economic order quantity model with defective items and
16
shortages.International Journal of Production Economics, 106,544–549.
17
Goyal, S.K., &Cardenas-Barron,L.E. (2002). Note on: economic production quantity model for
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items with imperfect quality - a practical approach.International Journal of Production
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Economics, 77,85–87.
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imperfect item for vendor and buyer.Production Planning & Control,14,596–602.
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Hariga, M., Gumus, M., &Daghfous, A. (2013a). Storage constrained vendor managed inventory
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models with unequal shipment frequencies. Omega (Accepted).
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model under contractual storage agreement. Computers & Operations Research, 40(8), 2138-
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inspection errors, planned backorders, and sales returns.Comput. Ind. Eng, 64 (1), 389–402.
28
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29
benefits of a centralised VMI system based on the EOQ model.International Journal of
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Production Research, 51(1), 172-188.
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Khan, M., Jaber, M.Y., Guiffrida, A.L.,&Zolfaghari, S. (2011). A review of the extensions of a
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modified EOQ model for imperfect quality items.Int. J. Prod. Econ., 132 (1), 1–12.
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with direct deliveries.Transportation Science, 36,94–118.
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with imperfect quality subject to the in-house inspection.International Journal of Systems
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Science, 38,473–482.
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Ma, S., Ying, D., Guan, X.,& Huang, K. (2013).Managing inventory through (Q, r) policy for a
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VMI programme with freshness clause. International Journal of Applied Management Science,
40
5(2), 129 – 143.
41
Marquès, G., Thierry, C., Lamothe, J., &Gourc, D. (2010). A review of Vendor Managed
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Inventory (VMI): from concept to processes. Production Planning & Control, 21(6), 547-
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Nagarajan, M.,&Rajagopalan, S. (2008). Contracting under vendor managed inventory systems
44
using holding cost subsidies.Production and Operations Management, 17, 200–210.
45
Pal, B., Sana, S.S,&Chaudhuri, K.S. (2013).A mathematical model on EPQ for stochastic
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demand in an imperfect production system. J ManufactSyst, 32, 260–270.
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inventory application in supply chain: the EOQ model with shortage.The International
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Journal of Advanced Manufacturing Technology ,49, 329–339.
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51
imperfect quality.International Journal of Production Economics, 64, 59–64.
52
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53
system.Appl. Math. Comput, 217 (13), 6159–6167.
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Production Economics, 100, 239–252.
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1007–1019.
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62
chain. Journal of Business Logistics, 20, 183–203.
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quality and shortage backordering.Omega, 35,7–11.
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multiple buyers with ordering cost reduction.International Journal of Production Economics, 73,
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69
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70
Economics, 109, 241–253.
71
ORIGINAL_ARTICLE
Pricing decisions in a two-echelon decentralized supply chain using bi-level programming approach
Pricing is one of the major aspects of decision making in supply chain. In the previous works mostly a centralized environment is considered indicating the retailers cannot independently apply their decisions on the pricing strategy. Although in a two-echelon decentralized environment it may be possible that supply chain contributors have encountered with different market power situations which provide that some of them try to impose their interests in pricing and/or volume of the products. In such situations the leader-follower Stackelberg game or more specifically bi-level programming seems to be the best approach to overcome the problem. Furthermore, in this study we consider the impacts of disruption risk caused by foreign exchange uncertainty on pricing decisions in a multi-product two-echelon supply chain. Also it is assumed that the market is partitioned to domestic and international retailers with segmented market for each retailer. The purpose of this paper is to introduce decisions policy on the pricing such that the utility of both manufacturer and retailers is met. Since the proposed bi-level model is NP-hard, a simulated annealing method combining with Tabu search is proposed to solve the model. A numerical example is presented to investigate the effect of foreign exchange variation on the decision variables through different scenarios. The results from numerical example indicate that the international retailers are indifferent to the manufacture undergoes changes where the domestic retailers react to changes, dramatically.
https://www.jise.ir/article_9543_d9568064e770a95dbd9f1adcf7fb74bc.pdf
2015-02-01
106
124
Bi-level programming
Decentralized supply chain
pricing
Disruption
risk
Simulated annealing and Tabu search
Maryam
Mokhlesian
maryam.mokhlesian@modares.ac.ir
1
Department of Industrial Engineering, Tarbiat Modares University, Tehran, Iran
AUTHOR
Seyed Hessameddin
Zegordi
zegordi@modares.ac.ir
2
Department of Industrial Engineering, Tarbiat Modares University, Tehran, Iran
LEAD_AUTHOR
Isa
Kamal Abadi
nakhai@modares.ac.ir
3
Department of Industrial Engineering, Tarbiat Modares University, Tehran, Iran
AUTHOR
Amir
Albadvi
albadvi@modares.ac.ir
4
Department of Industrial Engineering, Tarbiat Modares University, Tehran, Iran
AUTHOR
Arcelus, F. J., Gor, R., & Srinivasan, G. (2013). Foreign exchange transaction exposure in a newsvendor
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Economics, 141, 425–433.
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