Skip to main content

Advertisement

SpringerLink
Log in

Applying fuzzy AHP–TOPSIS technique in identifying the content strategy of sustainable manufacturing for food production

  • Published:
Environment, Development and Sustainability Aims and scope Submit manuscript

An Author Correction to this article was published on 18 June 2018

This article has been updated

Abstract

Food manufacturing is an important value-adding sector of both local economies and the global economy in terms of job creation, food security and participatory community development, among others. Along with highly relevant issues on energy consumption, unsustainable land-use patterns, waste generation associated with the industry, social issues in terms of health and safety of food products are part of the larger sustainability concerns. While maintaining economic stability at the firm level, there is a need to develop a sustainable manufacturing strategy that addresses competitiveness and sustainability. Emerging concerns for sustainable manufacturing are circulating, but focusing on a particular industry remains a gap. Thus, this paper attempts to formulate a sustainable manufacturing strategy and then to map this strategy to established best practices. The main departure of this work is: (1) identifying the content strategy of sustainable manufacturing strategy for food manufacturing firms, (2) determining the most relevant best practice that would largely address the content strategy and (3) providing guidelines for food manufacturing decision-makers and policy-makers in strategy formulation that aims to enhance the sustainability of their manufacturing firms. A fuzzy analytic hierarchy process–technique for order of preference by similarity to ideal solution (AHP–TOPSIS) approach is used to formulate the strategy and then rank the best practices. A case study is carried out in the Philippines, and results show the content strategy and total quality management is the best practice that supports the sustainability of food manufacturing firms followed by resource and material efficiency approaches.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

Change history

  • 18 June 2018

    Unfortunately, the below equations have been published incorrectly in the original publication. The correct equations are provided below:

References

  • Abdul Rashid, S. H., Evans, S., & Longhurst, P. (2008). A comparison of four sustainable manufacturing strategies. International Journal of Sustainable Engineering, 1(3), 214–229.

    Article  Google Scholar 

  • Balasubramanian, D., Kher, D., Dinesh, M., Madan, G., Shekharan, G., & Venkatesh, V. G. (2015). Factors influencing successful implementation of green manufacturing. AIMS International Journal of Management, 9(1), 1–16.

    Google Scholar 

  • Baltazar, M. E., Jardim, J., Alves, P., Silva, J. (2014). Air transport performance and efficiency: MCDA vs. DEA approaches. Procedia - Social and Behavioral Sciences, 111, 790–799.

    Article  Google Scholar 

  • Barreto, L. V., Anderson, H. C., Anglin, A., & Tomovic, C. L. (2010). Product lifecycle management in support of green manufacturing: Addressing the challenges of global climate change. International Journal of Manufacturing Technology and Management, 19(3/4), 294–305.

    Article  Google Scholar 

  • Brundtland, G. H. (1987). Report of the world commission on environment and development: Our common future. Oxford: Oxford University Press.

  • Chase, R., & Aquilano, N. (1992). Production and operations management (6th ed.). Toronto: Irwin Publishing.

    Google Scholar 

  • Chen, C.-T. (2000). Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets Systems, 114(1), 1–9.

    Article  Google Scholar 

  • Clelland, I. J., Dean, T. J., & Douglas, T. J. (2000). Stepping towards sustainable business: An evaluation of waste minimization practices in US manufacturing, 30(3), 107–124.

    Google Scholar 

  • Crosby, P. B. (1987). Quality process improvement principles and strategic goals. Washington, DC: Management College (course materials). Department of the Navy. San Jose, CA: Philip Crosby Associates, Inc.

  • Department of Trade and Industry. (2017). Securing the future of Philippine industries. http://industry.gov.ph/category/manufacturing/. Accessed 21 March 2017.

  • Ehrenfeld, D. (2005). Sustainability: Living with the imperfections. Conservation Biology, 19(1), 33–35.

    Article  Google Scholar 

  • Elkington, J. (1994). Towards the sustainable corporation: Win–win–win business strategies for sustainable development. California Management Review, 36(2), 90–100.

    Article  Google Scholar 

  • ETBPP. (1996). Saving money through waste minimisation: Raw material use. Environmental Technology Best Practice Programme.

  • Forster, A. (2011). Sustainability: Best practices in the food industry. UW-L Journal of Undergraduate Research, 16, 1–9.

    Google Scholar 

  • Global Environmental Management Initiative (GEMI). (1994). Environmental reporting in a total quality management framework. http://gemi.org/resources/REP_105.pdf. Accessed 21 March 2017.

  • Hallgren, M., & Olhager, J. (2006). Quantification in manufacturing strategy: A methodology and illustration. International Journal of Production Economics, 104(1), 113–124.

    Article  Google Scholar 

  • Howarth, G., & Hadfield, M. (2006). A sustainable product design model. Materials and Design, 27(10), 1128–1133.

    Article  Google Scholar 

  • Huang, K. S. (2003). Food manufacturing productivity and its economic implications. Electronic report from the Economic Research Service, United States Department of Agriculture (USDA), Technical bulletin number 1905.

  • Hwang, C. L., Yoon, K. (1981). Multiple attribute decision making: Methods and applications. New York: Springer.

    Book  Google Scholar 

  • Isaksson, R. (2006). Total quality management for sustainable development: Process based system models. Business Process Management Journal, 12(5), 632–645.

    Article  Google Scholar 

  • Kaufmann, A., & Gupta, M. M. (1985). Introduction to fuzzy arithmetic: Theory and applications. New York, NY: Van Nostrand Reinhold Company.

    Google Scholar 

  • Kleindorfer, P., Singhal, K., & Van Wassenhove, L. (2005). Sustainable operations management. Production and Operation Management, 14(4), 482–492.

    Article  Google Scholar 

  • Klöpffer, W. (1997). Life cycle assessment: From the beginning to the current state. Environmental Science and Pollution Research, 4(4), 223–228.

    Article  Google Scholar 

  • Kroyer, G. T. (1995). Impact of food processing on the environment—An overview. LWT Food Science and Technology, 28(6), 547–552.

    Article  CAS  Google Scholar 

  • Langemeyer, J., Gómez-Baggethun, E., Haase, D., Scheuer, S., Elmqvist, T. (2016). Bridging the gap between ecosystem service assessments and land-use planning through Multi-Criteria Decision Analysis (MCDA). Environmental Science & Policy, 62, 45–56.

    Article  Google Scholar 

  • León-Bravo, V., Caniato, F., Caridi, M., & Johnsen, T. (2017). Collaboration for sustainability in the food supply chain: A multi-stage study in Italy. Sustainability, 9, 1253. https://doi.org/10.3390/su9071253.

    Article  Google Scholar 

  • Liker, J. K. (2004). The Toyota way: 14 management principles from the world’s greatest manufacturer. New York, NY: McGraw-Hill.

    Google Scholar 

  • Luthra, S., Mangla, S. K., Xu, L., & Diabat, A. (2016). Using AHP to evaluate barriers in adopting sustainable consumption and production initiatives in a supply chain. International Journal of Production Economics, 181, 342–349.

    Article  Google Scholar 

  • Mani, V., Agrawal, R., & Sharma, V. (2014). Supplier selection using social sustainability: AHP based approach in India. International Strategic Management Review, 2(2), 98–112.

    Article  Google Scholar 

  • Mastrocinque, E., Coronado Mondragon, A., & Hogg, P. (2016). Manufacturing technology selection in the supply chain context by means of fuzzy-AHP: A case study in the high performance textile industry. ARPN Journal of Engineering and Applied Sciences, 11(1), 240–246.

    Google Scholar 

  • Meyer, P., Olteanu, A.-L. (2013). Formalizing and solving the problem of clustering in MCDA. European Journal of Operational Research, 227(3), 494–502.

    Article  Google Scholar 

  • Mikhailov, L., & Tsvetinov, P. (2004). Evaluation of services using a fuzzy hierarchy process. Applied Soft Computing, 5(1), 23–33.

    Article  Google Scholar 

  • Morteza, Z., Reza, F. M., Seddiq, M. M., Sharareh, P., & Jamal, G. (2016). Selection of the optimal tourism site using the ANP and fuzzy TOPSIS in the framework of integrated coastal zone management: A case of Qeshm Island. Ocean and Coastal Management, 130, 179–187.

    Article  Google Scholar 

  • Naudé, W., & Szirmai, A. (2012). The importance of manufacturing in economic development: Past, present and future perspectives. UNU-MERIT working papers, Maastricht Economic and Social Research Institute on Innovation and Technology (UNU-MERIT) and Maastricht Graduate School of Governance (MGSoG) (pp. 1–65).

  • Ocampo, L., & Clark, E. (2015a). A sustainable manufacturing strategy framework: The convergence of two fields. Asian Academy of Management Journal, 20(2), 29–57.

    Google Scholar 

  • Ocampo, L., & Clark, E. (2015b). A simulation-based fuzzy analytic network process approach in developing sustainable manufacturing strategy. Management and Production Engineering Review, 6(2), 32–39.

    Article  Google Scholar 

  • Ocampo, L. A., & Clark, E. E. (2017). Integrating sustainability and manufacturing strategy into a unifying framework. International Journal of Social Ecology and Sustainable Development, 8(1), 1–16.

    Article  Google Scholar 

  • Ocampo, L., Clark, E., & Promentilla, M. A. (2016). Computing sustainable manufacturing index with fuzzy analytic hierarchy process. International Journal of Sustainable Engineering, 9(5), 305–314.

    Google Scholar 

  • Ocampo, L. A., Clark, E. E., Tanudtanud, K. V. G., Ocampo, C. O. V., Impas, C. G., Sr., Vergara, V. G., et al. (2015). An integrated sustainable manufacturing strategy framework using fuzzy analytic network process. Advances in Production Engineering and Management, 10(3), 125–139.

    Article  Google Scholar 

  • Ocampo, L., & Promentilla, M. A. (2016). Development of a sustainable manufacturing strategy using analytic network process (ANP). International Journal of Business and Systems Research, 10(2–4), 262–290.

    Article  Google Scholar 

  • Ohno, T. (1978). Toyota production system—Beyond management of large-scale production. Tokyo: Diamond Publishing.

    Google Scholar 

  • Paul, I. D., Bhole, G. P., & Chaudhari, J. R. (2014). A review on green manufacturing: It’s important, methodology and its application. Procedia Materials Science, 6, 1644–1649.

    Article  CAS  Google Scholar 

  • Promentilla, M. A. B., Aviso, K. B., & Tan, R. R. (2014). A group fuzzy analytic network process to prioritize low carbon energy systems in the Philippines. Energy Procedia, 61, 808–811.

    Article  Google Scholar 

  • Rezaei-Moghaddam, K., & Karami, E. (2008). A multiple criteria evaluation of sustainable agricultural development models using AHP. Environment, Development and Sustainability, 10(4), 407–426.

    Article  Google Scholar 

  • Ribeiro, F., Ferreira, P., Araújo, M. (2013). Evaluating future scenarios for the power generation sector using a Multi-Criteria Decision Analysis (MCDA) tool: The Portuguese case. Energy, 52, 126–136.

  • Rothenberg, S., Pil, F. K., & Maxwell, J. (2001). Lean, green, and the quest for superior environmental performance. Production and Operations Management, 10(3), 228–243.

    Article  Google Scholar 

  • Saaty, T. L. (1980). The analytic hierarchy process. New York, NY: McGraw-Hill.

    Google Scholar 

  • Schmidheiny, S. (1992). Changing course: A global business perspective on development and the environment. Cambridge, MA: MIT Press.

    Google Scholar 

  • Schmidt-Bleek, F. (1996). Factor 10 with its MIPS and ecological rucksacks as measurement tools.

  • Seliger, G., Kim, H.-J., Kernbaum, S., & Zettl, M. (2008). Approaches to sustainable manufacturing. International Journal of Sustainable Manufacturing, 1(1–2), 58–77.

    Article  Google Scholar 

  • Shingo, S. (1981). Study of ‘TOYOTA’ production system from industrial engineering viewpoint. Portland, OR: Productivity Press.

    Google Scholar 

  • Singh, R. P., & Nachtnebel, H. P. (2016). Analytical hierarchy process (AHP) application for reinforcement of hydropower strategy in Nepal. Renewable and Sustainable Energy Reviews, 55, 43–58.

    Article  Google Scholar 

  • Singian, M. R. C. (2014). Booming Philippine food processing industry provides opportunities for U.S. ingredients. USDA Foreign Agricultural Service. https://gain.fas.usda.gov/Recent%20GAIN%20Publications/Food%20Processing%20Ingredients_Manila_Philippines_2-12-2014.pdf. Accessed 21 March 2017.

  • Siva, V., Gremyr, I., Bergquist, B., Garvare, R., Zobel, T., & Isaksson, R. (2016). The support of quality management to sustainable development: A literature review. Journal of Cleaner Production, 138, 148–157.

    Article  Google Scholar 

  • Skinner, W. (1969). Manufacturing—Missing link in corporate strategy. Brighton, MA: Harvard Business Review.

    Google Scholar 

  • Stroufe, R. (2003). Effects of environmental management systems on environmental management practices and operations. Production and Operations Management, 12(3), 416–431.

    Article  Google Scholar 

  • Sundharam, V. N., Sharma, V., & Thangaiah, I. S. T. (2013). An integration of BSC and AHP for sustainable growth of manufacturing industries. International Journal of Business Excellence, 6(1), 77–92.

    Article  Google Scholar 

  • Tan, X., Liu, D., & Li, C. (2008). A decision-making framework model of cutting tool selection for green manufacturing and its application. Journal of Advanced Manufacturing Systems, 7(2), 257–260.

    Article  Google Scholar 

  • Tari, J. J., & Molina-Azorín, J. F. (2010). Integration of quality management and environmental management systems: Similarities and the role of the EFQM model. The TQM Journal, 22(6), 687–701.

    Article  Google Scholar 

  • Thokala, P., Devlin, N., Marsh, K., Baltussen, R., Boysen, M., Kalo, Z., et al. (2016). Multiple criteria decision analysis for health care decision making—an introduction: Report 1 of the ISPOR MCDA emerging good practices task force. Value in Health, 19(1), 1–13.

    Article  Google Scholar 

  • Tsai, W.-H., & Chou, W.-C. (2009). Selecting management systems for sustainable development in SMEs: A novel hybrid model based on DEMATEL, ANP, and ZOGP. Expert Systems with Applications, 36(2), 1444–1458.

    Article  Google Scholar 

  • Tseng, M. L., Lin, Y. H., Chiu, A. S. F., & Liao, J. C. H. (2008). Using FANP approach on selection of competitive priorities based on cleaner production implementation: A case study in PCB manufacturer, Taiwan. Clean Technologies and Environmental Policy, 10(1), 17–29.

    Article  Google Scholar 

  • Veisi, H., Liaghati, H., & Alipour, A. (2016). Developing an ethics-based approach to indicators of sustainable agriculture using analytic hierarchy process (AHP). Ecological Indicators, 60, 644–654.

    Article  Google Scholar 

  • Voss, C., & Clutterbuck, D. (1989). Just-in-time: A global status report. Bedford: IFS Publications.

    Google Scholar 

  • Worrell, E., Bernstein, L., Roy, J., Price, L., & Harnisch, J. (2009). Industrial energy efficiency and climate change mitigation. Energy Efficiency, 2, 109–123.

    Article  Google Scholar 

  • Yuce, B., & Mastrocinque, E. (2016). A hybrid approach using the bees algorithm and fuzzy-AHP for supplier selection. In P. Samui (Ed.), Handbook of research on advanced computational techniques for simulation-based engineering (pp. 171–194). Hersey, PA: IGI Global.

    Chapter  Google Scholar 

  • Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8(3), 338–353.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Industrial Engineering, Cebu Technological University, Corner M.J. Cuenco Ave. & R. Palma St., 6000, Cebu City, Philippines

    Lanndon A. Ocampo

Authors
  1. Lanndon A. Ocampo
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Lanndon A. Ocampo.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ocampo, L.A. Applying fuzzy AHP–TOPSIS technique in identifying the content strategy of sustainable manufacturing for food production. Environ Dev Sustain 21, 2225–2251 (2019). https://doi.org/10.1007/s10668-018-0129-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10668-018-0129-8

Keywords

Search

Navigation