News

 Statistics

Number of Journals34
Number of Issues1,306
Number of Articles9,427
Article View9,188,259
PDF Download5,620,718
Jahanbakhsh, N., Tohidi, H. (2021). Competitive design of a logistic chain of perishable goods based on demand optimization and increase customer satisfaction. Electronic and Cyber Defense, 22(69), 20-36.
negin Jahanbakhsh; Hamid Tohidi. "Competitive design of a logistic chain of perishable goods based on demand optimization and increase customer satisfaction". Electronic and Cyber Defense, 22, 69, 2021, 20-36.
Jahanbakhsh, N., Tohidi, H. (2021). 'Competitive design of a logistic chain of perishable goods based on demand optimization and increase customer satisfaction', Electronic and Cyber Defense, 22(69), pp. 20-36.
Jahanbakhsh, N., Tohidi, H. Competitive design of a logistic chain of perishable goods based on demand optimization and increase customer satisfaction. Electronic and Cyber Defense, 2021; 22(69): 20-36.

Competitive design of a logistic chain of perishable goods based on demand optimization and increase customer satisfaction

مدیریت زنجیره تأمین
Volume 22, Issue 69, February 2021, Pages 20-36    PDF (2.33 M)
Document Type: Research/ Original/ Regular Article
Authors
negin Jahanbakhsh* 1; Hamid Tohidi2
1Graduate of Industrial Engineering, South Tehran Azad University
2Department of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran
Receive Date: 17 May 2020,  Revise Date: 01 June 2020,  Accept Date: 22 July 2020 
Abstract
Knowledge management evaluation in organizations is a pivotal pillar in achieving vision goals. In the past decade, knowledge in scientific and organizational dimensions has gained considerable attention and knowledge is currently considered as the foundational basis of competition. New organizations are based on knowledge and should be able to create it and use it when necessary. These factors have established a new paradigm in the field of management called “knowledge management”. The purpose of this study is to investigate possible effects of applying knowledge management on wheat supply chain management in Iran State Trading Company using a balanced scorecard. The present research is developmental and applies an evaluation survey model. The statistical population and sample size are 86 managers and deputies of the company at the provincial level, all of whom have been selected for research. Hypotheses were tested by structural equation modeling (SEM) through Smart PLS software and the research findings showed that in the wheat supply chain, there is a positive and significant relationship between the creation, application and transfer of knowledge with financial performance, stakeholders, internal processes and the growth of learning. Additionally, the dimensions of knowledge management had the least impact on the company's financial performance.
Keywords
Creating knowledge; Applying knowledge; Knowledge transfer; Knowledge management; Wheat supply chain; Balanced scorecard
References

[1] Z Dai, F Aqlan, X Zheng, & KA Gao.A location-inventory supply chain network model using two heuristic algorithms for perishable products with fuzzy constraints. Computers & Industrial Engineering (2018).              

[2]Mir Saman Pishvaee, Masoud Rabbani ,Seyed Ali Torabi .A robust optimization approach to closed-loop supply chain network design under uncertainty. Applied Mathematical Modelling Volume 35, Issue 2, Pages 637-64(2011).

[3] N. M Galal, A.F Moneim,

A Developing sustainable supply chains in developing countries. Procedia Cirp,volume 48, 419-424 (2016).

[4] J. M Bloemhof, &M Soysal. Sustainable food supply chain design. In Sustainable Supply Chains (395 - 412). Springer International Publishing (2017).

[5]Tasseda Boukherroub , Angel Ruiz ,Alian Guinet , Julien Fondrevelle. An integrated approach for sustainable supply chain planning. Computers & Operations Research.

Volume 54, Pages 180-194.(2015).

[6]Sahar Validi, Arijit Bhattacharya , P.J Byrne. A solution method for a two-layer sustainable supply chain distribution model.Computers & Operations Research. Pages 204-217(2017).                                         

[7]Ali Azadeh, Zeinab Raoofi, Mansour Zarrin. A multi-objective fuzzy linear programming model for optimization of natural gas supply chain through a greenhouse gas reduction approach. Journal of Natural Gas Science and Engineering, Pages 702-710(2015).

[8] Boyan Ivanov, Stoyan Stoyanov. A mathematical model formulation for the design of an integrated biodiesel-petroleum diesel blends system. Energy, Pages 221-236(2016).

[9]Mohammad Talaei ,Babak Farhang Moghaddam, Mir Saman Pishvaee, Ali Bozorgi-Amiri ,Sepideh Gholamnejad.A

robust fuzzy optimization model for carbon-efficient closed-loop supply chain network design problem: a numerical illustration in electronics industry.Journal of Cleaner Production .Pages 662-673(2017). 

[9]Mohammad Talaei ,Babak Farhang Moghaddam, Mir Saman Pishvaee, Ali Bozorgi-Amiri ,Sepideh Gholamnejad.A robust fuzzy optimization model for carbon-efficient closed-loop supply chain network design problem: a numerical illustration in electronics industry.Journal of Cleaner Production.Pages 662-673(2017).

 

[10] Mir Saman Pishvaee ,Mohamadreza Fazli Khalaf.Novel robust fuzzy mathematical programming methods.Applied Mathematical Modelling, Pages 407-418(2016).

 

[11]Michael Feitó-Cespón ,William Sarache, FrankPiedra-Jimenez, Roberto Cespón-Castro.Redesign of a sustainable reverse supply chain under uncertainty: A case study.Journal of  Cleaner Production. 206-217 (2017).

[12] M Musavi, R Tavakkoli-Moghaddam, &F Rayat. A Bi-Objective Green Truck Routing and Scheduling Problem in a Cross Dock with the Learning Effect ,2-14(2017).

 

[12] Z Rafie-Majd , Pasandideh & B Naderi.Modelling and solving the integrated inventory-location-routing problem in a multi-period and multi-perishable product supply chain with uncertainty Lagrangian relaxation algorithm.Volume 109, pages 9-22(2018).

 

 [14] D. G Mogale, M Kumar, S. K Kumar, & M. K Tiwari,Grain silo location-allocation problem with dwell time for optimization of food grain supply chain network. Transportation Research Part ELogistics and Transportation Review, 111, 40-69 (2018).

[15] Z Dai, F Aqlan., X Zheng & K. A Gao. A location-inventory supply chain network model using two heuristic algorithms for perishable products with fuzzy constraints.Computers & Industrial Engineering. 338-352 (2018).   

[16] S Khodaparasti, M. E Bruni,P Beraldi , H. R Maleki, & S Jahedi,. A multi-period location-allocation model for nursing home network planning under uncertainty. Operations Research for Health Care. 4-15(2018). 

[17] I. S Doolun, S.G Ponnambalam, N Subramanian & Kanagaraj G. Data driven hybrid evolutionary analytical approach for multi objective location allocation decisions: Automotive green supply chain empirical evidence. Computers & Operations Research.265-283 (2018).

 

[18] Yan Shuang ,Ali Diabat ,Yi Liao. A stochastic reverse logistics production routing model with emissions control policy selection. International Journal of Production Economics.201-216(2019).

 

[19] Ali Osman Kuşakcı ,Berk Ayvaz ,Emine Cin, NezirAydın..Optimization of reverse logistics network of End of Life Vehicles under fuzzy supply: A case study for Istanbul Metropolitan Area. Journal of Cleaner Production 1036-1051(2019).

[20] Wei Gu, Chen Wang, Shufen Dai, Lirong Wei. Robert Chiang Optimal strategies for reverse logistics network construction: A multi-criteria decision method for Chinese iron and steel industry Resources Policy (2019).

 

[21] Ali Rahbari ،Mohammad Mahdi Nasiri ، Frank Werner، Mir Mohammad Musavi،Fariborz Jolai.The vehicle routing and scheduling problem with cross-docking for perishable products under uncertainty: Two robust bi-objective models. Applied Mathematical Modelling. Pages 605-625 (2019).

[22] Shuai Zhang,Yu Zhuang, RanTao, Linlin Liu ,Lei Zhang ,Jian Du. Multi-objective Optimization for the Deployment of Carbon Capture Utilization and Storage Supply Chain Considering Economic andEnvironmental Performance (2020).

[23] Bo Yan Tao,Wang Yan-ping, Liu Yang Liu. Decision analysis of retailer-dominated dual-channel supply chain considering cost misreporting. International Journal of Production Economics 34-41(2016).

 [24]Mehdi Biuki ،Abolfazl Kazemi ،Alireza Alinezhad.An integrated location-routing-inventory model for sustainable design of a perishable products supply chain network.journal of cleaner production (2020)

Statistics
Article View: 845
PDF Download: 725