An algebraic approach for supply network synthesis

Abstract This paper presents a novel algebraic technique of supply network synthesis and analysis. A case study of biomass processing for supply network synthesis using three techniques (i) mathematical modelling (ii) supermatrix scoring concept and (iii) algebraic analysis with graphical visualisation is demonstrated. The results and performances of three techniques are compared. Comparable modelling results are obtained for all three approaches. The introduction of quantitative cum graphical analysis of supply network allows the performance overview of each possible choice of supply network in one picture. Besides, the algebraic method allows the concurrent set-up of material allocation and ranking of possible supply network choices. This outweighs the mathematical modelling technique that allows for optimal supply network synthesis but giving no insight to the performance of next network choices; and the supermatrix scoring technique that ranks the general supply network choices in a whole picture yet incapable to capture the optimal selection which involves only part of the players, especially in supply network problem.

[1]  Pablo Aragonés-Beltrán,et al.  The application of the analytic network process to the assessment of best available techniques , 2012 .

[2]  Hon Loong Lam,et al.  A Process Integration Approach for Supply Chain Development , 2013 .

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

[4]  Gang Kou,et al.  Analytic network process in risk assessment and decision analysis , 2014, Comput. Oper. Res..

[5]  Chin-Tsai Lin,et al.  Optimal marketing strategy: A decision-making with ANP and TOPSIS , 2010 .

[6]  Yang Yang,et al.  A Fuzzy ANP-Based Approach to Evaluate Region Agricultural Drought Risk , 2011 .

[7]  U. V. Shenoy,et al.  Pinch analysis for aggregate production planning in supply chains , 2004, Comput. Chem. Eng..

[8]  Denny K. S. Ng,et al.  Green strategy for sustainable waste-to-energy supply chain , 2013 .

[9]  Efstratios N. Pistikopoulos,et al.  Environmentally conscious long-range planning and design of supply chain networks , 2005 .

[10]  Ernest R. Davidson,et al.  Super-matrix methods , 1989 .

[11]  Jiří Jaromír Klemeš,et al.  Objective dimensionality reduction method within multi-objective optimisation considering total footprints , 2014 .

[12]  T. Saaty,et al.  The Analytic Hierarchy Process , 1985 .

[13]  Hon Loong Lam,et al.  Supply network synthesis on rubber seed oil utilisation as potential biofuel feedstock , 2013 .

[14]  Raymond R. Tan,et al.  Interdependent ranking of sources and sinks in CCS systems using the analytic network process , 2013, Environ. Model. Softw..

[15]  Madjid Tavana,et al.  A novel hybrid social media platform selection model using fuzzy ANP and COPRAS-G , 2013, Expert Syst. Appl..

[16]  A. Ramudhin,et al.  Design of sustainable supply chains under the emission trading scheme , 2012 .

[17]  Hon Loong Lam,et al.  A supply network optimisation with functional clustering of industrial resources , 2014 .

[18]  U. V. Shenoy,et al.  Aggregate Planning in Supply Chains by Pinch Analysis , 2002 .