Application of a hybrid dynamic MCDM to explore the key factors for the internal control of procurement circulation

Decisions related to the internal control measurement of procurement circulation are inherently multiple criteria decision-making problems and are strategically important to enterprises. Although efforts have been made to discover systematic methods for enhancing purchasing performance, the criteria have been assumed to be independent, which is not actually the case. Most conventional decision models cannot capture the complex interrelationships the criteria. Here, we propose a workable hybrid dynamic multiple criteria decision-making (HDMCDM) method to solve the problems arising from the complex dynamics in the real world. The relationship between the criteria and the criteria weights for the HDMCDM are developed by combining the decision-making trial and evaluation laboratory (DEMATEL) method with the fundamental concept of the analytic network process (ANP), the DEMATEL-based ANP (DANP). VlseKriterijumska Optimizacija I Kompromisno Resenje is then used to aggregate the performance gaps with the weights obtained from the DANP. The results obtained for a specific company show that the four dimensions of internal control of procurement circulation have a mutual influence relationship, with the dimension of ‘receiving and storage’ demonstrating the greatest influence and ‘recorded liabilities’ the least. Empirical analysis helps to improve the scores for achieving the aspiration levels for each factor.

[1]  David J. Murphy,et al.  Purchasing performance evaluation: with data envelopment analysis , 2002 .

[2]  Gwo-Hshiung Tzeng,et al.  Extended VIKOR method in comparison with outranking methods , 2007, Eur. J. Oper. Res..

[3]  Karel Skokan Technological and Economic Development of Economy , 2011 .

[4]  Arash Shahin,et al.  A novel approach for supplier selection based on the Kano model and fuzzy MCDM , 2013 .

[5]  Yusuf Tansel İç,et al.  MOORA-based Taguchi optimisation for improving product or process quality , 2013 .

[6]  E. Hartmann,et al.  Top and bottom line relevance of purchasing and supply management , 2012 .

[7]  Pingyu Jiang,et al.  Implementing of a three-phase integrated decision support model for parts machining outsourcing , 2014 .

[8]  Gwo-Hshiung Tzeng,et al.  Comments on “Multiple criteria decision making (MCDM) methods in economics: an overview” , 2012 .

[9]  James J.H. Liou,et al.  New concepts and trends of MCDM for tomorrow – in honor of Professor Gwo-Hshiung Tzeng on the occasion of his 70th birthday , 2013 .

[10]  Lisa M. Ellram,et al.  The Impact of Purchasing and Supply Management Activities on Corporate Success , 2002 .

[11]  Ching-Lai Hwang,et al.  Fuzzy Multiple Attribute Decision Making - Methods and Applications , 1992, Lecture Notes in Economics and Mathematical Systems.

[12]  J. González‐Benito A theory of purchasing's contribution to business performance , 2007 .

[13]  Evi Hartmann,et al.  Strategic alignment and purchasing efficacy: an exploratory analysis of their impact on financial performance , 2008 .

[14]  N. Suresh,et al.  Strategic Sourcing: An Empirical Investigation of the Concept and Its Practices in U.S. Manufacturing Firms , 2006 .

[15]  Mónica García-Melón,et al.  Setting competitiveness indicators using BSC and ANP , 2012 .

[16]  Anne Johannes Jan Braaksma,et al.  A quantitative method for Failure Mode and Effects Analysis , 2012 .

[17]  K. Förstl,et al.  Achieving purchasing competence through purchasing performance measurement system design—A multiple-case study analysis , 2011 .

[18]  Haritha Saranga,et al.  Performance evaluation of purchasing and supply management using value chain DEA approach , 2010, Eur. J. Oper. Res..

[19]  Benny Tjahjono,et al.  Towards product-service systems modelling: a quest for dynamic behaviour and model parameters , 2012 .

[20]  Kevin B. Hendricks,et al.  The effect of supply chain glitches on shareholder wealth , 2003 .

[21]  Kannan Govindan,et al.  Pressure analysis for green supply chain management implementation in Indian industries using analytic hierarchy process , 2014 .

[22]  E. Zavadskas,et al.  Multiple criteria decision making (MCDM) methods in economics: an overview , 2011 .

[23]  Thomas L. Saaty,et al.  Decision making with dependence and feedback : the analytic network process : the organization and prioritization of complexity , 1996 .

[24]  Gwo-Hshiung Tzeng,et al.  A hybrid dynamic MADM model for problem-improvement in economics and business , 2013 .

[25]  Augustine A. Lado,et al.  Strategic purchasing, supply management, and firm performance , 2004 .

[26]  Stephan M. Wagner,et al.  Supplier development or supplier switching? , 2012 .

[27]  S. Rajakarunakaran,et al.  Fuzzy hybrid decision model for supplier evaluation and selection , 2013 .

[28]  Kwan Hee Han,et al.  Manufacturing cycle time reduction for batch production in a shared worker environment , 2013 .

[29]  Gwo-Hshiung Tzeng,et al.  A VIKOR technique based on DEMATEL and ANP for information security risk control assessment , 2013, Inf. Sci..

[30]  Y. J. Lin,et al.  Supplier selection using analytic network process and data envelopment analysis , 2012 .

[31]  Randal J. Elder Mark S. Beasley Alvin A. Arens Auditing and Assurance Services: An Integrated Approach , 2002 .