Supply Chain Cost Estimation Model for Dashboard Management Design

Document Type : Original Article

Authors

1 Doctoral student, Department of Accounting, Kashan Branch, Islamic Azad University, Kashan, Iran

2 Professor, Accounting Department of Tehran University, Tehran, Iran (Corresponding Author)

3 Associate Professor, Department of Accounting, Kashan Branch, Islamic Azad University, Kashan, Iran

Abstract

Supply chain management helps partners in the chain to justify internal costs. The pursuit of cost information through the supply chain is very important for controlling costs, which helps to establish and optimize activities in institutions in the value chain. In this research, we have tried to review the literature on Supply Chain Costing in order to predict a model of management dashboard design for supply chain cost estimation, focusing on quantitative models and prediction. For this purpose, after reviewing the supply chain cost literature and examining the scope and purpose of the dashboard design, using the mathematical models and applying actual production and sales data in Tehran Province in the Zamzam Iran  Company  and Zamzam Tehran  Company 22 data courses From March 2016 to December 2017, the subject of this study, the design of the Supply Chain Cost Chain (CHCDM) model and the use of specialized software to prepare reports in the field of business intelligence, predicted the cost estimation dashboard model Supply chain and analysis reports were sensitive. Findings of the research are the best way to predict the combination method and regression method.

Keywords


1)     Delaware, Ali (2000) Research Methods, Tehran: Science and Research Unit.
2)     Khaki, Gholamreza (2005) Research Method with a Thesis Approach, Tehran: Reflection Publication.
3)     Gall, Meredith and others; methods of qualitative and quantitative research in education and psychology, sociology, Ahmad Reza Nasr and others, Tehran, and the University martyr Beheshti, 1382, first edition, Vol. 1.
4)     Tarakh and Amir Nasseri, Mohammad Jafar and Amir (2012), Minimum cost of multilevel supply chain distribution with the approach of genetic algorithm and hybrid method, Tehran, Industrial Engineering Engineering Magazine.
5)     Hejazi and Shahrokhi, Rezvand Mehdeh Samaneh (1392), Is there a difference between different systems of valuation? Tehran, Accounting Research.
6)     Principal, and the buyer, Shams al-Din, Fatima, (1391), Impact of Integrated Supply Chain Dimensions on Competitive Capacities in the Food and Beverage Industries of Mashhad, Tehran, Industrial Management Studies of the 9th Year.
7)     Mazaheri, Karbassian and Shirooyzad, Ali, Mehdi and Hadi (2011), Identification and Prioritization of Supply Chain Risks in Manufacturing Organizations Using Analytical Hierarchy Process, Tehran, Supply Chain Management Quarterly.
8)     Bagheri Dehnavi Vamoumi, Maliheh and Golriz, (2012), Evaluation and Appropriate Costing Approach in the Supply Chain Using the Analytical Hierarchy Process, Lahijan, 2nd National Conference on Software Engineering in Lahijan .
9)     Cheng, TCE, Lai, K.-h., and Wong, CWY 2011. "Value of Information Integration to Supply Chain Management: Roles of Internal and External Contingencies," Journal of Management Information Systems (28: 3), pp. 161- 200
10)  Deo, BS (2001). Operational Based Costing Model for Measuring Productivity in Production Systems. Doctor of Philosophy, University of Manitoba.
11)  Ellram, LM (2002). Supply management's involvement in the target costing process. European Journal of Purchasing & Supply Management. 8: 235.
12)  Goetschalckx, M., CJ Vidal, et al. (2002). "Modeling and design of global logistics systems: A  review of integrated strategic and tactical models and design algorithms." European Journal of Operational Research 143: 1-18.
13)  Hasan, MA, Sarkis, J., and Shankar, R. 2012. "Agility and Production Flow Layouts: An Analytical Decision Analysis", Computers & Industrial Engineering (62: 4), pp. 898-907.
14)  Person, O., Jones, MC, and Sidorova, A. 2011. Business Intelligence (Bi) Success and the Role of Capabilities, Intelligent Systems in Accounting, Finance and Management (18: 4), pp. 161-176.
15)  Kosior, J. (2004). Demand Chain Modeling Using Logistic-Based Costing. Doctor of Philosophy, University of Manitoba.
16)  Lenz, J. and R. Neitzel (1995). "Cost Modeling: An Effective Means to Compare, Alternatives." Industrial Engineering January Issue: 18-19. Deo, BS (2001). Operational Based Costing Model for Measuring Productivity in Production Systems. Doctor of Philosophy, University of Manitoba.
17)  Lockamy, AI and WI Smith (2000). "Target Costing for Supply Chain Management: criteria and selection." Industrial Management and Data Systems 100 (5): 210-218.
18)  Iyengar, D. (2005). Effect of Transaction Cost and Coordination Mechanisms on the Length of the Supply Chain. Doctor of Philosophy, University of Maryland.
19)  Ngai, EWT, Chau, DCK, and Chan, TLA 2011. "Information Technology, Operational, and Management Competencies for Supply Chain Agility: Findings from Case Studies," Journal of Strategic Information Systems (20: 3), pp. 232-249.
20)  During, S. and Müller, M. (2008) From a Literature Review to a Conceptual Framework for Sustainable Supply Chain Management. Journal of Cleaner Production, 16, 1699-1710.
21)  Yusof, EMM, Othman, MS, Omar, Y., and Yusof, ARM 2013. "The Study on the Application of Business Intelligence in Manufacturing: A Review," International Journal of Computer Science Issues (10: 1), pp. 317- 32