A decision support framework considering sustainability for the selection of thermal food processes

Abstract A specific combination of rule-based technique and fuzzy analytic hierarchy process was examined for the development of a decision support framework for selecting thermal process technologies in the food industry considering sustainability. Demonstrating the process sustainability, energy indicators are especially focused and cover four aspects of energy use in the process, including energy consumption, energy efficiency, energy savings and renewable energy use. The selection comprises two steps and results in the ranking of potential technologies for a particular product. The goal is to provide decision support at an early stage of selecting thermal process technologies for the food industry.

[1]  Paul Schönsleben,et al.  Integrating energy efficiency performance in production management – gap analysis between industrial needs and scientific literature , 2011 .

[2]  Shah Jahan Miah,et al.  A methodology to allow rural extension professionals to build target-specific expert systems for Australian rural business operators , 2009, Expert Syst. Appl..

[3]  P. Caratti,et al.  Comparing region-specific sustainability assessments through indicator systems: Feasible or not? , 2011 .

[4]  Mohammad Ataei,et al.  The application of fuzzy analytic hierarchy process (FAHP) approach to selection of optimum underground mining method for Jajarm Bauxite Mine, Iran , 2009, Expert Syst. Appl..

[5]  Nagahanumaiah,et al.  Computer aided rapid tooling process selection and manufacturability evaluation for injection mold development , 2008, Comput. Ind..

[6]  Bülent Çatay,et al.  Development of a machine tool selection system using AHP , 2007 .

[7]  Jianguo Sun,et al.  Two-grade fuzzy synthetic decision-making system with use of an analytic hierarchy process for performance evaluation of grinding fluids , 2001 .

[8]  Zeki Ayağ,et al.  A hybrid approach to machine-tool selection through AHP and simulation , 2007 .

[9]  Jiangjiang Wang,et al.  Review on multi-criteria decision analysis aid in sustainable energy decision-making , 2009 .

[10]  H. S Abdalla,et al.  A computer-based intelligent system for automatic tool selection , 2001 .

[11]  Jerzy Weres,et al.  ADVANCED TECHNOLOGIES IN DEVELOPING WEB-BASED DECISION SUPPORT SYSTEMS FOR AGRICULTURE , 2010 .

[12]  Michael J. Ellenbecker,et al.  Indicators of sustainable production: framework and methodology , 2001 .

[13]  Thomas L. Saaty,et al.  Rank from comparisons and from ratings in the analytic hierarchy/network processes , 2006, Eur. J. Oper. Res..

[14]  Orlando Durán,et al.  Computer-aided machine-tool selection based on a Fuzzy-AHP approach , 2008, Expert Syst. Appl..

[15]  Didier Dubois,et al.  Fuzzy sets and systems ' . Theory and applications , 2007 .

[16]  S. Feng,et al.  Categorization of indicators for sustainable manufacturing , 2013 .

[17]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[18]  Quirico Semeraro,et al.  A new method to cope with decision makers' uncertainty in the equipment selection process , 2004 .

[19]  Cengiz Kahraman,et al.  Fuzzy Analytic Hierarchy Process and its Application , 2008 .

[20]  Ahmet Er,et al.  A rule-based expert system approach to process selection for cast components , 2000, Knowl. Based Syst..

[21]  Te-Sheng Li,et al.  Applying TRIZ and Fuzzy AHP to develop innovative design for automated manufacturing systems , 2009, Expert Syst. Appl..

[22]  G. Tucker,et al.  Essentials of Thermal Processing , 2010 .

[23]  Gary Riley,et al.  Expert Systems: Principles and Programming , 2004 .

[24]  Lily Amelia,et al.  Modelling of palm oil production using fuzzy expert system , 2009, Expert Syst. Appl..

[25]  R. W. Saaty,et al.  The analytic hierarchy process—what it is and how it is used , 1987 .

[26]  Hing Kai Chan,et al.  An integrated fuzzy approach for the selection of manufacturing technologies , 2006 .

[27]  Eirik Nordheim,et al.  Sustainable development indicators of the European aluminium industry , 2007 .

[28]  R. Venkata Rao,et al.  Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods , 2013 .

[29]  J. C. Ho,et al.  Batch drying of banana pieces - effect of stepwise change in drying air temperature on drying kinetics and product colour , 2001 .

[30]  Ratna Babu Chinnam,et al.  Remanufacturing Decision-Making Framework (RDMF): research validation using the analytical hierarchical process , 2013 .

[31]  C. Kahraman.  Multi-Criteria Decision Making Methods and Fuzzy Sets , 2008 .

[32]  Ching-Hsue Cheng,et al.  A new approach for ranking fuzzy numbers by distance method , 1998, Fuzzy Sets Syst..

[33]  Paul Fletcher,et al.  Back-end manager: an interface between a knowledge-based front end and its application subsystems , 1990, Knowl. Based Syst..

[34]  Niclas Svensson,et al.  Environmental Relevance and Use of Energy Indicators in Environmental Management and Research. , 2006 .

[35]  Haitham M. S. Lababidi,et al.  Web-based expert system for food dryer selection , 2003, Comput. Chem. Eng..

[36]  Felix T.S. Chan,et al.  Evaluation methodologies for technology selection , 2000 .

[37]  Thomas L. Saaty,et al.  Multicriteria Decision Making: The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation , 1990 .

[38]  Metin Dagdeviren,et al.  Decision making in equipment selection: an integrated approach with AHP and PROMETHEE , 2008, J. Intell. Manuf..

[39]  Ian C. Kemp,et al.  Drying Software: Past, Present, and Future , 2007 .