IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v193y2017icp677-690.html
   My bibliography  Save this article

Exploratory analysis of the variables prevailing on the effects of product modularization on production volume and efficiency

Author

Listed:
  • Barbosa, Luziane Machado
  • Lacerda, Daniel Pacheco
  • Piran, Fabio Antonio Sartori
  • Dresch, Aline

Abstract

Product modularization is considered a strategic alternative supporting companies in their search for competitive advantages. Such advantages are acceleration of product development process, increase in the variety of products and improved operational performance. However, there are few studies verifying and quantifying the effects of product modularization on the performance of companies. This research, through a case study, aims at identifying and comparing variables influencing most effects of product modularization on production volume and efficiency of a bus manufacturer. To achieve such a purpose, a longitudinal analysis of Product Engineering and Production Process indicators was performed considering products before and after modularization. Data envelopment analysis (DEA) and Artificial Neural Network (ANN) were used as analytical methods. Among the main results, the variables that influenced most increase in efficiency after product modularization resulted from strategic decisions made during the modularization process. Among these decisions, the most important are standardization of modules, rationalization of resources and specialization of tasks. Variables related to physical resources outweighed effects on production volume and efficiency for products before modularization. However, after product modularization, variables related to strategic resources begin to prevail.

Suggested Citation

  • Barbosa, Luziane Machado & Lacerda, Daniel Pacheco & Piran, Fabio Antonio Sartori & Dresch, Aline, 2017. "Exploratory analysis of the variables prevailing on the effects of product modularization on production volume and efficiency," International Journal of Production Economics, Elsevier, vol. 193(C), pages 677-690.
    • Handle: RePEc:eee:proeco:v:193:y:2017:i:c:p:677-690
    DOI: 10.1016/j.ijpe.2017.08.028
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0925527317302815
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ijpe.2017.08.028?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. Marques, Alex & Lacerda, Daniel Pacheco & Camargo, Luís Felipe Riehs & Teixeira, Rafael, 2014. "Exploring the relationship between marketing and operations: Neural network analysis of marketing decision impacts on delivery performance," International Journal of Production Economics, Elsevier, vol. 153(C), pages 178-190.
    2. Israelsen, Poul & Jørgensen, Brian, 2011. "Decentralizing decision making in modularization strategies: Overcoming barriers from dysfunctional accounting systems," International Journal of Production Economics, Elsevier, vol. 131(2), pages 453-462, June.
    3. Thomas Johnsen, 2009. "Supplier involvement in new product development and innovation: Taking stock and looking to the future," Post-Print hal-00771091, HAL.
    4. Joe Zhu, 2014. "Data Envelopment Analysis," International Series in Operations Research & Management Science, in: Quantitative Models for Performance Evaluation and Benchmarking, edition 3, chapter 1, pages 1-9, Springer.
    5. Ramírez Palencia, Alberto E. & Mejía Delgadillo, Gonzalo E., 2012. "A computer application for a bus body assembly line using Genetic Algorithms," International Journal of Production Economics, Elsevier, vol. 140(1), pages 431-438.
    6. Lau Antonio, K.W. & Yam, Richard C.M. & Tang, Esther, 2007. "The impacts of product modularity on competitive capabilities and performance: An empirical study," International Journal of Production Economics, Elsevier, vol. 105(1), pages 1-20, January.
    7. Wagner, Janet M. & Shimshak, Daniel G., 2007. "Stepwise selection of variables in data envelopment analysis: Procedures and managerial perspectives," European Journal of Operational Research, Elsevier, vol. 180(1), pages 57-67, July.
    8. Cook, Wade D. & Tone, Kaoru & Zhu, Joe, 2014. "Data envelopment analysis: Prior to choosing a model," Omega, Elsevier, vol. 44(C), pages 1-4.
    9. Jain, Sanjay & Triantis, Konstantinos P. & Liu, Shiyong, 2011. "Manufacturing performance measurement and target setting: A data envelopment analysis approach," European Journal of Operational Research, Elsevier, vol. 214(3), pages 616-626, November.
    10. Piran, Fabio Antonio Sartori & Lacerda, Daniel Pacheco & Camargo, Luis Felipe Riehs & Viero, Carlos Frederico & Dresch, Aline & Cauchick-Miguel, Paulo Augusto, 2016. "Product modularization and effects on efficiency: An analysis of a bus manufacturer using data envelopment analysis (DEA)," International Journal of Production Economics, Elsevier, vol. 182(C), pages 1-13.
    11. Park, Jaehun & Lee, Dongha & Zhu, Joe, 2014. "An integrated approach for ship block manufacturing process performance evaluation: Case from a Korean shipbuilding company," International Journal of Production Economics, Elsevier, vol. 156(C), pages 214-222.
    12. Cabigiosu, Anna & Zirpoli, Francesco & Camuffo, Arnaldo, 2013. "Modularity, interfaces definition and the integration of external sources of innovation in the automotive industry," Research Policy, Elsevier, vol. 42(3), pages 662-675.
    13. Carliss Y. Baldwin & Kim B. Clark, 2000. "Design Rules, Volume 1: The Power of Modularity," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262024667, April.
    14. Tianjun Feng & Fuqiang Zhang, 2014. "The Impact of Modular Assembly on Supply Chain Efficiency," Production and Operations Management, Production and Operations Management Society, vol. 23(11), pages 1985-2001, November.
    15. Shawnee K. Vickery & Yemisi A. Bolumole & Matthew J. Castel & Roger J. Calantone, 2015. "The effects of product modularity on launch speed," International Journal of Production Research, Taylor & Francis Journals, vol. 53(17), pages 5369-5381, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Visani, Franco & Boccali, Filippo, 2020. "Purchasing price assessment of leverage items: A Data Envelopment Analysis approach," International Journal of Production Economics, Elsevier, vol. 223(C).
    2. Fabricio Eidelwein & Fabio Antonio Sartori Piran & Daniel Pacheco Lacerda & Aline Dresch & Luis Henrique Rodrigues, 2018. "Exploratory Analysis of Modularization Strategy Based on the Theory of Constraints Thinking Process," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 19(2), pages 111-122, June.
    3. Telles, Eduardo Santos & Lacerda, Daniel Pacheco & Morandi, Maria Isabel Wolf Motta & Piran, Fabio Antonio Sartori, 2020. "Drum-buffer-rope in an engineering-to-order system: An analysis of an aerospace manufacturer using data envelopment analysis (DEA)," International Journal of Production Economics, Elsevier, vol. 222(C).
    4. Abolhassani, Amir & James Harner, E. & Jaridi, Majid, 2019. "Empirical analysis of productivity enhancement strategies in the North American automotive industry," International Journal of Production Economics, Elsevier, vol. 208(C), pages 140-159.
    5. Piran, Fabio Sartori & Lacerda, Daniel Pacheco & Camanho, Ana S. & Silva, Maria C.A., 2021. "Internal benchmarking to assess the cost efficiency of a broiler production system combining data envelopment analysis and throughput accounting," International Journal of Production Economics, Elsevier, vol. 238(C).
    6. Liu, Yang & Zhang, Yufeng & Batista, Luciano & Rong, Ke, 2019. "Green operations: What's the role of supply chain flexibility?," International Journal of Production Economics, Elsevier, vol. 214(C), pages 30-43.
    7. Arana-Solares, Iván Andrés & Ortega-Jiménez, César H. & Alfalla-Luque, Rafaela & Pérez-Díez de los Ríos, José Luis, 2019. "Contextual factors intervening in the manufacturing strategy and technology management-performance relationship," International Journal of Production Economics, Elsevier, vol. 207(C), pages 81-95.
    8. Viktora-Jones, Magdalena & Parente, Ronaldo & Drori, Netanel & Zhao, Yue, 2024. "Firm performance drivers within a dynamic emerging market ecosystem," Journal of International Management, Elsevier, vol. 30(1).
    9. Fabio Antonio Sartori Piran & Alaércio De Paris & Daniel Pacheco Lacerda & Luis Felipe Riehs Camargo & Rosiane Serrano & Ricardo Augusto Cassel, 2020. "Overall Equipment Effectiveness: Required but not Enough—An Analysis Integrating Overall Equipment Effect and Data Envelopment Analysis," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 21(2), pages 191-206, June.
    10. Machado, Mariana Paim & Abreu, Jaqueline Lilge & Morandi, Maria Isabel Motta & Piran, Fabio Sartori & Lacerda, Daniel Pacheco, 2023. "Exploratory decision robustness analysis of the theory of constraints focusing process using system dynamics modeling," International Journal of Production Economics, Elsevier, vol. 260(C).

    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. Piran, Fabio Antonio Sartori & Lacerda, Daniel Pacheco & Camargo, Luis Felipe Riehs & Viero, Carlos Frederico & Dresch, Aline & Cauchick-Miguel, Paulo Augusto, 2016. "Product modularization and effects on efficiency: An analysis of a bus manufacturer using data envelopment analysis (DEA)," International Journal of Production Economics, Elsevier, vol. 182(C), pages 1-13.
    2. Fabio Antonio Sartori Piran & Alaércio De Paris & Daniel Pacheco Lacerda & Luis Felipe Riehs Camargo & Rosiane Serrano & Ricardo Augusto Cassel, 2020. "Overall Equipment Effectiveness: Required but not Enough—An Analysis Integrating Overall Equipment Effect and Data Envelopment Analysis," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 21(2), pages 191-206, June.
    3. Visani, Franco & Boccali, Filippo, 2020. "Purchasing price assessment of leverage items: A Data Envelopment Analysis approach," International Journal of Production Economics, Elsevier, vol. 223(C).
    4. Telles, Eduardo Santos & Lacerda, Daniel Pacheco & Morandi, Maria Isabel Wolf Motta & Piran, Fabio Antonio Sartori, 2020. "Drum-buffer-rope in an engineering-to-order system: An analysis of an aerospace manufacturer using data envelopment analysis (DEA)," International Journal of Production Economics, Elsevier, vol. 222(C).
    5. Liu, Jiawen & Gong, Yeming (Yale) & Zhu, Joe & Zhang, Jinlong, 2018. "A DEA-based approach for competitive environment analysis in global operations strategies," International Journal of Production Economics, Elsevier, vol. 203(C), pages 110-123.
    6. Fabricio Eidelwein & Fabio Antonio Sartori Piran & Daniel Pacheco Lacerda & Aline Dresch & Luis Henrique Rodrigues, 2018. "Exploratory Analysis of Modularization Strategy Based on the Theory of Constraints Thinking Process," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 19(2), pages 111-122, June.
    7. Imad Bou-Hamad & Abdel Latef Anouze & Ibrahim H. Osman, 2022. "A cognitive analytics management framework to select input and output variables for data envelopment analysis modeling of performance efficiency of banks using random forest and entropy of information," Annals of Operations Research, Springer, vol. 308(1), pages 63-92, January.
    8. Benítez-Peña, Sandra & Bogetoft, Peter & Romero Morales, Dolores, 2020. "Feature Selection in Data Envelopment Analysis: A Mathematical Optimization approach," Omega, Elsevier, vol. 96(C).
    9. Liu, John S. & Lu, Louis Y.Y. & Lu, Wen-Min, 2016. "Research fronts in data envelopment analysis," Omega, Elsevier, vol. 58(C), pages 33-45.
    10. Rafael Marques & Rafael Teixeira & Daniel P. Lacerda & Fabio S. Piran, 2023. "Exploring outsourcing service productivity from the buyer and supplier perspective: A case analysis in the fleet maintenance industry," Operations Management Research, Springer, vol. 16(2), pages 853-867, June.
    11. Charles, Vincent & Aparicio, Juan & Zhu, Joe, 2019. "The curse of dimensionality of decision-making units: A simple approach to increase the discriminatory power of data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 279(3), pages 929-940.
    12. Anna Cabigiosu, 2018. "When do modular dominant designs emerge? A theoretical framework," Working Papers 05, Venice School of Management - Department of Management, Università Ca' Foscari Venezia.
    13. Rodrigues, Antonio Carlos & Martins, Ricardo Silveira & Wanke, Peter Fernandes & Siegler, Janaina, 2018. "Efficiency of specialized 3PL providers in an emerging economy," International Journal of Production Economics, Elsevier, vol. 205(C), pages 163-178.
    14. Yande Gong & Joe Zhu & Ya Chen & Wade D. Cook, 2018. "DEA as a tool for auditing: application to Chinese manufacturing industry with parallel network structures," Annals of Operations Research, Springer, vol. 263(1), pages 247-269, April.
    15. Silvia Saravia-Matus & T. S. Amjath-Babu & Sreejith Aravindakshan & Stefan Sieber & Jimmy A. Saravia & Sergio Gomez y Paloma, 2021. "Can Enhancing Efficiency Promote the Economic Viability of Smallholder Farmers? A Case of Sierra Leone," Sustainability, MDPI, vol. 13(8), pages 1-17, April.
    16. Quintano, Claudio & Mazzocchi, Paolo & Rocca, Antonella, 2021. "Evaluation of the eco-efficiency of territorial districts with seaport economic activities," Utilities Policy, Elsevier, vol. 71(C).
    17. Yash Daultani & Ashish Dwivedi & Saurabh Pratap, 2021. "Benchmarking higher education institutes using data envelopment analysis: capturing perceptions of prospective engineering students," OPSEARCH, Springer;Operational Research Society of India, vol. 58(4), pages 773-789, December.
    18. Khushalani, Jaya & Ozcan, Yasar A., 2017. "Are hospitals producing quality care efficiently? An analysis using Dynamic Network Data Envelopment Analysis (DEA)," Socio-Economic Planning Sciences, Elsevier, vol. 60(C), pages 15-23.
    19. Ying Li & Yung-Ho Chiu & Tai-Yu Lin & Tzu-Han Chang, 2020. "Pre-Evaluating the Technical Efficiency Gains from Potential Mergers and Acquisitions in the IC Design Industry," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 19(02), pages 525-559, April.
    20. Daysi Sanmartín-Durango & Maria Alejandra Henao-Bedoya & Yair Tadeo Valencia-Estupiñan & Jairo Humberto Restrepo-Zea, 2019. "Efficiency of health expenditure in the OECD and LAC: a data envelopment analysis," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, issue 91, pages 41-78, Julio - D.

    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:eee:proeco:v:193:y:2017:i:c:p:677-690. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ijpe .

    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.