IDEAS home Printed from https://ideas.repec.org/a/spr/manrev/v72y2022i4d10.1007_s11301-021-00222-z.html
   My bibliography  Save this article

Decision making process in lean assessment and implementation: a review

Author

Listed:
  • Ahmad A. Mumani

    (Yarmouk University)

  • Ghazi M. Magableh

    (Yarmouk University)

  • Mahmoud Z. Mistarihi

    (Yarmouk University)

Abstract

Lean manufacturing (LM), by providing significant advancement in systems performance and efficiency, has recently come to a wide use in industrial environments. LM, providing tools that can target types of waste and improve various aspects of manufacturing systems implementation, uses the application of such tools to improve operational and financial aspects of organizations. Critical decisions with multiple contradictory criteria are associated with lean implementation (LI), leading to a multi-criteria decision making (MCDM) problem. A great deal of work has been directed toward understanding the decision-making process involved in LI process, but with little focus on the role of MCDM involving a LI chain. More than two hundred articles were reviewed and categorized, and the decision-making process as related to LI is structured into three main levels. First, the leanness level should be determined to describe the need for lean tools. Second, based on the leanness level, lean tools can be selected for implementation. Finally, appropriate parameters for the selected tools should be determined. The result of this categorization is a platform providing a comprehensive understanding of full-chain decision-making in LI. In general, adequate quality of decisions should be realized through all levels to ensure efficient LI.

Suggested Citation

  • Ahmad A. Mumani & Ghazi M. Magableh & Mahmoud Z. Mistarihi, 2022. "Decision making process in lean assessment and implementation: a review," Management Review Quarterly, Springer, vol. 72(4), pages 1089-1128, December.
  • Handle: RePEc:spr:manrev:v:72:y:2022:i:4:d:10.1007_s11301-021-00222-z
    DOI: 10.1007/s11301-021-00222-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11301-021-00222-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11301-021-00222-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Tharun Thomas & P.G. Saleeshya & Priya Harikumar, 2017. "A combined AHP and ISM-based model to assess the leanness of a manufacturing company," International Journal of Business Performance Management, Inderscience Enterprises Ltd, vol. 18(4), pages 403-426.
    2. Sanjay Sharma & Bhavin Shah, 2016. "Towards lean warehouse: transformation and assessment using RTD and ANP," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 65(4), pages 571-599, April.
    3. Scherrer-Rathje, Maike & Boyle, Todd A. & Deflorin, Patricia, 2009. "Lean, take two! Reflections from the second attempt at lean implementation," Business Horizons, Elsevier, vol. 52(1), pages 79-88.
    4. Olugbenga O. Mejabi, 2003. "Framework for a lean manufacturing planning system," International Journal of Manufacturing Technology and Management, Inderscience Enterprises Ltd, vol. 5(5/6), pages 563-578.
    5. Wang, Hui & Gong, Qiguo & Wang, Shouyang, 2017. "Information processing structures and decision making delays in MRP and JIT," International Journal of Production Economics, Elsevier, vol. 188(C), pages 41-49.
    6. M.M. Ravikumar & K. Marimuthu & P. Parthiban & H. Abdul Zubar, 2016. "Evaluating lean execution performance in Indian MSMEs using SEM and TOPSIS models," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 26(1), pages 104-125.
    7. Gunasekaran, A., 1999. "Agile manufacturing: A framework for research and development," International Journal of Production Economics, Elsevier, vol. 62(1-2), pages 87-105, May.
    8. Anna-Theresa Walter, 2021. "Organizational agility: ill-defined and somewhat confusing? A systematic literature review and conceptualization," Management Review Quarterly, Springer, vol. 71(2), pages 343-391, April.
    9. Abdulmalek, Fawaz A. & Rajgopal, Jayant, 2007. "Analyzing the benefits of lean manufacturing and value stream mapping via simulation: A process sector case study," International Journal of Production Economics, Elsevier, vol. 107(1), pages 223-236, May.
    10. Chao-chao Liu & Zhan-wen Niu & Pei-Chann Chang & Bo Zhang, 2017. "Assessment approach to stage of lean transformation cycle based on fuzzy nearness degree and TOPSIS," International Journal of Production Research, Taylor & Francis Journals, vol. 55(23), pages 7223-7235, December.
    11. Soroush Avakh Darestani & Nillofar Hojjat Shamami, 2019. "Performance evaluation of lean production based on balanced score card method using ANP and SIR: a case from Iranian home appliance industry," OPSEARCH, Springer;Operational Research Society of India, vol. 56(3), pages 717-738, September.
    12. Imad Alsyouf & Raid Al-Aomar & Heba Al-Hamed & Xiaojin Qiu, 2011. "A framework for assessing the cost effectiveness of lean tools," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 5(2), pages 170-197.
    13. Saaty, Thomas L., 1990. "How to make a decision: The analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 48(1), pages 9-26, September.
    14. Agarwal, Ashish & Shankar, Ravi & Tiwari, M.K., 2006. "Modeling the metrics of lean, agile and leagile supply chain: An ANP-based approach," European Journal of Operational Research, Elsevier, vol. 173(1), pages 211-225, August.
    15. Satish Kumar & Riya Sureka & Sisira Colombage, 2020. "Capital structure of SMEs: a systematic literature review and bibliometric analysis," Management Review Quarterly, Springer, vol. 70(4), pages 535-565, November.
    16. Katsuhiko Takahashi & Katsumi Morikawa & Daisuke Hirotani & Takeshi Yoshikawa, 2010. "Adaptive Kanban control systems for two-stage production lines," International Journal of Manufacturing Technology and Management, Inderscience Enterprises Ltd, vol. 20(1/2/3/4), pages 75-93.
    17. Naga Vamsi Krishna Jasti & Rambabu Kodali, 2015. "Lean production: literature review and trends," International Journal of Production Research, Taylor & Francis Journals, vol. 53(3), pages 867-885, February.
    18. M.M. Ravikumar & K. Marimuthu & P. Parthiban, 2015. "Evaluating lean implementation performance in Indian MSMEs using ISM and AHP models," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 22(1), pages 21-39.
    19. Mwafak Shakoor & Mohamed Qureshi & Wisam Abu Jadayil & Nasser Jaber, 2017. "Assessment of Retail Practices for Providing Enhanced Value Added Services and Improved Customer Satisfaction Using Lean Manufacturing Approach," International Review of Management and Marketing, Econjournals, vol. 7(2), pages 360-366.
    20. Vipul Gupta & Padmanav Acharya & Manoj Patwardhan, 2013. "A strategic and operational approach to assess the lean performance in radial tyre manufacturing in India," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 62(6), pages 634-651, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rohit Kumar Singh & Sachin Modgil, 2023. "Assessment of Lean Supply Chain Practices in Indian Automotive Industry," Global Business Review, International Management Institute, vol. 24(1), pages 68-105, February.
    2. Sujan Piya & Ahm Shamsuzzoha & Mohammad Khadem & Nasr Al-Hinai, 2020. "Identification of Critical Factors and Their Interrelationships to Design Agile Supply Chain: Special Focus to Oil and Gas Industries," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 21(3), pages 263-281, September.
    3. Choudhary, Devendra & Shankar, Ravi, 2012. "An STEEP-fuzzy AHP-TOPSIS framework for evaluation and selection of thermal power plant location: A case study from India," Energy, Elsevier, vol. 42(1), pages 510-521.
    4. Pinho, Celso R.A. & Pinho, Maria Luiza C.A. & Deligonul, Seyda Z. & Tamer Cavusgil, S., 2022. "The agility construct in the literature: Conceptualization and bibliometric assessment," Journal of Business Research, Elsevier, vol. 153(C), pages 517-532.
    5. Jafari-Sadeghi, Vahid & Amoozad Mahdiraji, Hannan & Busso, Donatella & Yahiaoui, Dorra, 2022. "Towards agility in international high-tech SMEs: Exploring key drivers and main outcomes of dynamic capabilities," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    6. Pearce, Antony & Pons, Dirk, 2019. "Advancing lean management: The missing quantitative approach," Operations Research Perspectives, Elsevier, vol. 6(C).
    7. Mendes, Paulo & Leal, José Eugênio & Thomé, Antônio Márcio Tavares, 2016. "A maturity model for demand-driven supply chains in the consumer product goods industry," International Journal of Production Economics, Elsevier, vol. 179(C), pages 153-165.
    8. Kuldeep Kavta & Arkopal K. Goswami, 2021. "A methodological framework for a priori selection of travel demand management package using fuzzy MCDM methods," Transportation, Springer, vol. 48(6), pages 3059-3084, December.
    9. Ciampi, Francesco & Faraoni, Monica & Ballerini, Jacopo & Meli, Francesco, 2022. "The co-evolutionary relationship between digitalization and organizational agility: Ongoing debates, theoretical developments and future research perspectives," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    10. Yusuf, Yahaya Y. & Gunasekaran, Angappa & Musa, Ahmed & Dauda, Mohammed & El-Berishy, Nagham M. & Cang, Shuang, 2014. "A relational study of supply chain agility, competitiveness and business performance in the oil and gas industry," International Journal of Production Economics, Elsevier, vol. 147(PB), pages 531-543.
    11. Vikash Sharma & Rakesh D. Raut & Sachin Kumar Mangla & Balkrishna E. Narkhede & Sunil Luthra & Ravindra Gokhale, 2021. "A systematic literature review to integrate lean, agile, resilient, green and sustainable paradigms in the supply chain management," Business Strategy and the Environment, Wiley Blackwell, vol. 30(2), pages 1191-1212, February.
    12. Purvis, Laura & Gosling, Jonathan & Naim, Mohamed M., 2014. "The development of a lean, agile and leagile supply network taxonomy based on differing types of flexibility," International Journal of Production Economics, Elsevier, vol. 151(C), pages 100-111.
    13. Nitin S. Solke & T. P. Singh, 2018. "Analysis of Relationship Between Manufacturing Flexibility and Lean Manufacturing Using Structural Equation Modelling," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 19(2), pages 139-157, June.
    14. Delia MANEA, 2013. "Lean Production – Concept And Benefits," Review of General Management, Spiru Haret University, Faculty of Management Brasov, vol. 17(1), pages 164-171, MAI.
    15. Flavio Martins & Maria Fatima Almeida & Rodrigo Calili & Agatha Oliveira, 2020. "Design Thinking Applied to Smart Home Projects: A User-Centric and Sustainable Perspective," Sustainability, MDPI, vol. 12(23), pages 1-27, December.
    16. Ali Zackery & Joseph Amankwah-Amoah & Zahra Heidari Darani & Shiva Ghasemi, 2022. "COVID-19 Research in Business and Management: A Review and Future Research Agenda," Sustainability, MDPI, vol. 14(16), pages 1-32, August.
    17. V. Srinivasan & G. Shainesh & Anand K. Sharma, 2015. "An approach to prioritize customer-based, cost-effective service enhancements," The Service Industries Journal, Taylor & Francis Journals, vol. 35(14), pages 747-762, October.
    18. Patricija Bajec & Danijela Tuljak-Suban, 2019. "An Integrated Analytic Hierarchy Process—Slack Based Measure-Data Envelopment Analysis Model for Evaluating the Efficiency of Logistics Service Providers Considering Undesirable Performance Criteria," Sustainability, MDPI, vol. 11(8), pages 1-18, April.
    19. Hongyi Sun & Bingqian Zhang & Wenbin Ni, 2022. "A Hybrid Model Based on SEM and Fuzzy TOPSIS for Supplier Selection," Mathematics, MDPI, vol. 10(19), pages 1-19, September.
    20. Xinxin Liu & Xiaosheng Wang & Haiying Guo & Xiaojie An, 2021. "Benefit Allocation in Shared Water-Saving Management Contract Projects Based on Modified Expected Shapley Value," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(1), pages 39-62, January.

    More about this item

    Keywords

    Lean implementation; Selection; Tools; MCDM; Decision; Leanness; LM;
    All these keywords.

    JEL classification:

    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General
    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:manrev:v:72:y:2022:i:4:d:10.1007_s11301-021-00222-z. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.