Proposing a Smart Performance Management System for Production Workshop Based on Virtual Organizational Deoxyribonucleic Acid Concept

Authors

  • Alaa M. Ubaid Senior Administrative Officer, College of Engineering, University of Sharjah, Sharjah, United Arab Emirate, Email: aubaid@sharjah.ac.aeE, P.O. Box: 27272 Sharjah, United Arab Emirate, W: www.Sharjah.ac.ae
  • Fikri T. Dweiri Industrial Engineering and Engineering Management Department, College of Engineering, University of Sharjah, Sharjah, United Arab Emirate

DOI:

https://doi.org/10.29194/NJES.26030244

Keywords:

Organizational Performance, Organizational Virtual DNA, Performance Management System, Dashboard, Decision-Making Tool, Business Process

Abstract

This research aims to develop and validate a smart PMS. The PMS will create a foundation for PMSs that will be used by organizations in the digital era. A three-step methodology was used in the current research. First, the archival literature analysis was used to identify the features and elements of the robust PMSs. Second, a generic PMS was constructed based on the results of the first step. Third, the generic PMS was amended, implemented in the workshop, and validated by discussing the results with a focus group of experts. The academic and technical contribution can be seen in proposing a generic Virtual Organizational Deoxyribonucleic Acid (V-DNA) concept and smart PMS (Performance Management Dashboard (PMD) and Decision-Making Tool (DMT)) based on the features and elements of the robust PMSs. The generic V-DNA and PMS were amended and implemented in the stated workshop. Then, the validation process was done by presenting the implementation results to a focus group of academic experts and taking their feedback.  Applying the PMD and the DMT to monitor, analyze, and manage workshop performance was successful. The PMD proved a useful tool that can provide a holistic view of the workshop performance areas instead of focusing on isolated business aspects such as workshop productivity or efficiency. The decision-makers directly identified the low-performing and highly performing KPIs/processes/sub-processes and identified the root causes of low and high performance. The DMT proved a useful tool. The decision-makers could evaluate all sub-processes and rank them based on the values and weights of the decision-making criteria, highlighting the areas that need improvement. The originality and novelty of the proposed PMS and the V-DNA were proved through a systematic literature review process. The implications of the research can be seen in the possibility of testing the generic V-DNA and the PMS templates in organizations of different sizes and sectors to check their applicability. Moreover, other layers of the organizational V-DNA can be proposed. The current research assists the practitioners and managers in constructing the PMSs they need for their workshops/factories/companies.

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Author Biographies

  • Alaa M. Ubaid, Senior Administrative Officer, College of Engineering, University of Sharjah, Sharjah, United Arab Emirate, Email: aubaid@sharjah.ac.aeE, P.O. Box: 27272 Sharjah, United Arab Emirate, W: www.Sharjah.ac.ae

    Dr. Alaa M. Ubaid is a Senior Administrative Officer in the College of Engineering-University of Sharjah-United Arab Emirate. Dr. Alaa holds a Ph.D. in Engineering Management from the University of Sharjah. He also has an MSc. and B.Sc. degrees in production engineering from the University of Technology-Iraq. Dr. Alaa has extensive experience in the industrial sector. He served as a senior production engineer and production manager in many international companies. He is also a reviewer in many peer-reviewed scientific journals. Dr. Alaa research interest is distributed between optimization, sustainable manufacturing systems, innovation management, organizational excellence, and Industry X.0.

  • Fikri T. Dweiri, Industrial Engineering and Engineering Management Department, College of Engineering, University of Sharjah, Sharjah, United Arab Emirate

    Prof. Fikri Dweiri is Professor at the Industrial Engineering and Engineering Management Department, College of Engineering, University of Sharjah, UAE. He holds a Ph.D. in Industrial Engineering from the University of Texas at Arlington. He served as the vice dean in the College of Engineering-University of Sharjah, Dean of the School Technological Sciences at the German-Jordanian University, and the Founding Chairman of the Industrial Engineering Department at the Jordan University of Science and Technology. His research interests include quality management, supply chain management, organization performance excellence, multi-criteria decision-making, and fuzzy logic.

References

M. Helal, ‘Towards a dynamic performance management system for healthcare in Kuwait’, in Proceedings of the 2016 Industrial and Systems Engineering Research Conference, ISERC 2016, 2016, pp. 1663–1668.

J. P. Antony and S. Bhattacharyya, ‘Measuring organizational performance and organizational excellence of SMEs – Part 2: an empirical study on SMEs in India’, Measuring Business Excellence, vol. 14, no. 3, pp. 42–52, Aug. 2010, doi: 10.1108/13683041011074209.

P. Canonico, E. De Nito, V. Esposito, M. Martinez, L. Mercurio, and M. Pezzillo iacono, ‘The boundaries of a performance management system between learning and control’, Measuring Business Excellence, vol. 19, no. 3, pp. 7–21, Aug. 2015, doi: 10.1108/MBE-04-2015-0021.

R. A. Maya, ‘Performance Management for Syrian Construction Projects’, International Journal of Construction Engineering and Management, vol. 5, no. 3, pp. 65–78, 2016, doi: 10.5923/j.ijcem.20160503.01.

M. Muntean, G. Sabau, A.-R. Bologa, T. Surcel, and A. Florea, ‘Performance Dashboards For Universities’, in Proceedings of the 2nd International Conference on Manufacturing Engineering, Quality and Production Systems, 2009, pp. 206–211.

M. Muntean, Gh. Sabau, A. R. Bologa, and A. Florea, ‘Higher Education Management Dashboards’, in Proceedings of the International Conference on Applied Computer Science, IGI Global, 2010, pp. 285–290.

J. J. Mitchell and A. J. Ryder, ‘Developing and Using Dashboard Indicators in Student Affairs Assessment’, New Directions for Student Services, vol. 2013, no. 142, pp. 71–81, Jun. 2013, doi: 10.1002/ss.20050.

Veronica and A. D. Suryawan, ‘User Satisfaction Survey of Performance Management Dashboard Using Delone & McLean Method: A Case Study’, in 2019 International Conference on Information Management and Technology (ICIMTech), IEEE, Aug. 2019, pp. 542–547. doi: 10.1109/ICIMTech.2019.8843761.

I. Costinel Nica, S. L. Craciunescu, D. Alexandru, and ?tefan-A. Ionescu, ‘Using of KPIs and Dashboard in the Analysis of Nike Company’s Performance Management’, Theoretical and Applied Economics, vol. XXVIII, no. 1, pp. 61–84, Jun. 2021, doi: 10.5171/2021.852077.

J. W. Curtright, S. C. Stolp-Smith, and E. S. Edell, ‘Strategic Performance Management: Development of a Performance Measurement System at the Mayo Clinic’, Journal of Healthcare Management, vol. 45, no. 1, pp. 58–68, Jan. 2000, doi: 10.1097/00115514-200001000-00014.

B. Graham, R. Bond, M. Quinn, and M. Mulvenna, ‘Using Data Mining to Predict Hospital Admissions From the Emergency Department’, IEEE Access, vol. 6, pp. 10458–10469, 2018, doi: 10.1109/ACCESS.2018.2808843.

N. António and F. Serra, ‘The use of design science research in the development of a performance management system for hospitality’, Dos Algarves: A Multidisciplinary e-Journal, vol. 26, no. 2, pp. 23–46, Dec. 2015, doi: 10.18089/DAMeJ.2015.26.2.2.

C. Sanin, I. Shafiq, M. M. Waris, C. Toro, and E. Szczerbicki, ‘Manufacturing collective intelligence by the means of Decisional DNA and virtual engineering objects, process and factory’, Journal of Intelligent & Fuzzy Systems, vol. 32, no. 2, pp. 1585–1599, Jan. 2017, doi: 10.3233/JIFS-169152.

G. Zellner, ‘A structured evaluation of business process improvement approaches’, Business Process Management Journal, vol. 17, no. 2, pp. 203–237, Apr. 2011, doi: 10.1108/14637151111122329.

H. Cooper and L. V. Hedges, ‘Research Synthesis as a Scientific Entrprise’, in The Handbook of Research Synthesis, Harris Cooper and L. V. Hedges, Eds., New York: Russell Sage Foundation, 1994, p. 14.

A. M. Ubaid and F. T. Dweiri, ‘Business process management (BPM): terminologies and methodologies unified’, International Journal of System Assurance Engineering and Management, vol. 11, no. 6, pp. 1046–1064, Dec. 2020, doi: 10.1007/s13198-020-00959-y.

R. Sanchez-Marquez, J. M. Albarracín Guillem, E. Vicens-Salort, J. Jabaloyes Vivas, and L. Ardito, ‘A systemic methodology for the reduction of complexity of the balanced scorecard in the manufacturing environment’, Cogent Business & Management, vol. 7, no. 1, p. 1720944, Jan. 2020, doi: 10.1080/23311975.2020.1720944.

Abdurrahman, A. Gutomo, D. Wibisono, and E. Agus Prasetio, ‘Designing a Performance Management System for the Digital Transformation of the Indonesian Banking Industry’, in Proceedings of the 7th North American International Conference on Industrial Engineering and Operations Management, Orlando, Florida, USA, 2022, pp. 655–671.

P. Septian Zulfikar and D. Wibisono, ‘Proposed Performance Management System Design Based on Intergrated Performance Management System Case Study: Pamarican Agro Industry’, Journal of Business and Management, vol. 6, no. 2, pp. 227–238, 2017.

M. Cheng, A. Dainty, and D. Moore, ‘Implementing a new performance management system within a project?based organization’, International Journal of Productivity and Performance Management, vol. 56, no. 1, pp. 60–75, Dec. 2006, doi: 10.1108/17410400710717082.

A. H. Napitu, ‘Design of Performance Management System for Underground Mining Construction Using Integrated Performance Management System’, Journal of Economics, Business and Management, vol. 5, no. 9, pp. 314–323, 2017, doi: 10.18178/joebm.2017.5.9.532.

S. Ondategui-Parra et al., ‘Practice Management Performance Indicators in Academic Radiology Departments’, Radiology, vol. 233, no. 3, pp. 716–722, Dec. 2004, doi: 10.1148/radiol.2333031147.

N. Zouri, Z. Abdolkarimi, and S. A. Payambarpour, ‘The Impact of Strategic Performance Measurement System on Organizational Performance in Saudi Universities’, GATR Global Journal of Business Social Sciences Review, vol. 1, no. 2, pp. 64–71, Apr. 2013, doi: 10.35609/gjbssr.2013.1.2(7).

P. A. Alam, ‘Measuring Organizational Effectiveness through Performance Management System and Mckinsey’s 7 S Model’, Asian Journal of Management, vol. 8, no. 4, p. 1280, 2017, doi: 10.5958/2321-5763.2017.00194.9.

M. Akhtar and S. Sushil, ‘Strategic performance management system in uncertain business environment. An empirical study of the Indian oil industry’, Business Process Management Journal, vol. 24, no. 4, pp. 923–942, Jun. 2018, doi: 10.1108/BPMJ-05-2017-0102.

B. Kowal, ‘Key performance indicators in a multi-dimensional performance card in the energy sector’, IOP Conf Ser Earth Environ Sci, vol. 214, no. 1, p. 012093, Jan. 2019, doi: 10.1088/1755-1315/214/1/012093.

S. U. Sahubawa and A. P. Pratama, ‘Proposed Performance Management System for A Project-based Renewable Energy Startup’, European Journal of Business and Management Research, vol. 6, no. 4, pp. 359–367, Aug. 2021, doi: 10.24018/ejbmr.2021.6.4.1039.

C. Lindberg, S. Tan, J. Yan, and F. Starfelt, ‘Key Performance Indicators Improve Industrial Performance’, Energy Procedia, vol. 75, pp. 1785–1790, Aug. 2015, doi: 10.1016/j.egypro.2015.07.474.

Huiping Guo, Ping Xu, and Ran Liu, ‘Construction of performance management system based on balanced scorecard for exhibition company’, in 2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), IEEE, Aug. 2011, pp. 6576–6579. doi: 10.1109/AIMSEC.2011.6011315.

B. Sofrankova, J. Horvathova, D. Kiselakova, and S. Matkova, ‘Identification of Key Performance Indicators with the Application of Mathematical and Statistical Methods’, Journal of Financial Studies and Research, vol. 2017, pp. 1–11, Jan. 2017, doi: 10.5171/2017.403204.

A. Halachmi, ‘Performance measurement is only one way of managing performance’, International Journal of Productivity and Performance Management, vol. 54, no. 7, pp. 502–516, Oct. 2005, doi: 10.1108/17410400510622197.

J. K. Raja and V. Prabhu, ‘An integrated software system for enterprise performance management’, International Journal of Management and Decision Making, vol. 8, no. 1, p. 89, 2007, doi: 10.1504/IJMDM.2007.012153.

T. C. Chieu and L. Zeng, ‘Real-time Performance Monitoring for an Enterprise Information Management System’, in 2008 IEEE International Conference on e-Business Engineering, IEEE, 2008, pp. 429–434. doi: 10.1109/ICEBE.2008.93.

F. T. Shah and M. M. Aslam, ‘Impact of employees performance management system; to achieve the objective of the organizations’, in Proceedings 2nd CBRC, Lahore, Pakistan, 2009.

A. de Waal, K. Kourtit, and P. Nijkamp, ‘The relationship between the level of completeness of a strategic performance management system and perceived advantages and disadvantages’, International Journal of Operations & Production Management, vol. 29, no. 12, pp. 1242–1265, Nov. 2009, doi: 10.1108/01443570911005983.

R. R. Rodríguez, J. Alfaro, A. Ortiz, and M. Verdecho, ‘Identifying relationships between key performance indicators’, in 4th International Conference on Industrial Engineering and Industrial Management, 2010, pp. 151–159.

L. Guanying, Y. Kaichao, W. Congcong, and Y. Pengqian, ‘A Study of Enterprise Performance Management System Based on KPI +BSC’, in 2010 3rd International Conference on Information Management, Innovation Management and Industrial Engineering, IEEE, Nov. 2010, pp. 468–472. doi: 10.1109/ICIII.2010.277.

C. Valmohammadi and A. Servati, ‘Performance measurement system implementation using Balanced Scorecard and statistical methods’, International Journal of Productivity and Performance Management, vol. 60, no. 5, pp. 493–511, Jun. 2011, doi: 10.1108/17410401111140400.

M. A. Salem, N. Hasnan, and N. H. Osman, ‘Balanced Scorecard: Weaknesses, strengths, Its ability as Performance Managment System Versus other Performance Management Systems’, Journal of Environment and Earth Science, vol. 2, no. 9, pp. 1–9, 2012.

A. Draghici, A.-D. Popescu, and L. M. Gogan, ‘A Proposed Model for Monitoring Organizational Performance’, Procedia Soc Behav Sci, vol. 124, no. 0, pp. 544–551, Mar. 2014, doi: 10.1016/j.sbspro.2014.02.518.

S. Mishra and C. K. Sahoo, ‘Organizational Effort towards Performance Management System?: A Key to Success’, Industrial Engineering Letters, vol. 5, no. 2, pp. 20–26, 2015.

A. R. Suhardi, ‘Renewal of Performance Management System in Family Company’, Procedia Soc Behav Sci, vol. 211, no. September, pp. 448–454, Nov. 2015, doi: 10.1016/j.sbspro.2015.11.059.

B. Sharma, ‘Balance Score Card and Its Impact on Performance Management System: Review of Application Model of Balance Score Card’, Journal of Exclusive Management Science, vol. 4, no. 7, pp. 1–6, 2015.

A. Tolonen, M. Shahmarichatghieh, J. Harkonen, and H. Haapasalo, ‘Product portfolio management – Targets and key performance indicators for product portfolio renewal over life cycle’, Int J Prod Econ, vol. 170, pp. 468–477, Dec. 2015, doi: 10.1016/j.ijpe.2015.05.034.

R. Rajnoha and P. Lesníková, ‘Strategic Performance Management System and Corporate Sustainability Concept - Specific Parametres in Slovak Enterprises’, Journal of Competitiveness, vol. 6, no. 3, pp. 107–124, Sep. 2016, doi: 10.7441/joc.2016.03.07.

U. Kumar Ghatak, ‘An Impression of Performance Management System in Industrial Sectors-A Literature Review’, International Journal for Scientific Research & Development, vol. 4, no. 11, pp. 2321–0613, 2017, [Online]. Available: www.ijsrd.com

A. R. Suhardi and S. Ichsani, ‘Analysis Performance Management System’, Journal of Management and Marketing Review, vol. 2, no. 1, pp. 75–78, Mar. 2017, doi: 10.35609/jmmr.2017.2.1(10).

A. A. Stanciu, D.-A. Stoica, M. B. Sürgün, N. I. Tr?staru, and A. Vrânceanu, ‘Measuring the Organizational Performance: A Theoretical Overview’, Academic Journal of Economic Studies, vol. 5, no. 1, pp. 160–163, 2019.

S. Satyal, I. Weber, H. Paik, C. Di Ciccio, and J. Mendling, ‘Business process improvement with the AB-BPM methodology’, Inf Syst, vol. 84, pp. 283–298, Sep. 2019, doi: 10.1016/j.is.2018.06.007.

A. M. Ubaid and F. T. Dweiri, ‘Excellent Performance Realization Methodologies ( EPRMs ): Elements and Framework’, in International Conference on Industrial Engineering and Operations Management, Bangkok, Thailand, March 5-7, 2019, 2019, pp. 233–241.

T. Schmiedel, J. Recker, and J. vom Brocke, ‘The relation between BPM culture, BPM methods, and process performance: Evidence from quantitative field studies’, Information & Management, vol. 57, no. 2, p. 103175, Mar. 2020, doi: 10.1016/j.im.2019.103175.

T. Kadak and E. K. Laitinen, ‘How different types of performance management systems affect organizational performance?’, Measuring Business Excellence, vol. 25, no. 3, pp. 315–327, Aug. 2021, doi: 10.1108/MBE-03-2020-0045.

R. W. Chapman, ‘Public Health Accreditation Impact: The Performance Management System’, Journal of Public Health Management and Practice, vol. 24, no. 3, pp. S19–S21, May 2018, doi: 10.1097/PHH.0000000000000712.

Saefulah, ‘Performance management system design of inspection bodies in Indonesia using Analytical Hierarchy Process method ( Perancangan sistem pengukuran kinerja lembaga inspeksi di iIndonesia menggunakan metode Analytical Hierarchy Process )’, Operations Excellence: Journal of Applied Industrial Engineering, vol. 13, no. 3, pp. 378–392, 2021.

R.-A. ?erban and M. Herciu, ‘Performance Management Systems – Proposing and Testing a Conceptual Model’, Studies in Business and Economics, vol. 14, no. 1, pp. 231–244, Apr. 2019, doi: 10.2478/sbe-2019-0018.

G. Kamulegeya, R. Mugwanya, and R. Hebig, ‘Requirements for Measurement Dashboards and Their Benefits: A Study of Start-ups in an Emerging Ecosystem’, in 2019 45th Euromicro Conference on Software Engineering and Advanced Applications (SEAA), IEEE, Aug. 2019, pp. 300–308. doi: 10.1109/SEAA.2019.00053.

F. Suprata, ‘Data Storytelling with Dashboard: Accelerating Understanding through Data Visualization in Financial Technology Company Case Study’, Jurnal Metris, vol. 20, pp. 1–10, 2019.

D. P. Irfani, D. Wibisono, and M. H. Basri, ‘Design of a logistics performance management system based on the system dynamics model’, Measuring Business Excellence, vol. 23, no. 3, pp. 269–291, Oct. 2019, doi: 10.1108/MBE-01-2019-0008.

D. P. Irfani, D. Wibisono, and M. H. Basri, ‘Logistics performance measurement framework for companies with multiple roles’, Measuring Business Excellence, vol. 23, no. 2, pp. 93–109, Jul. 2019, doi: 10.1108/MBE-11-2018-0091.

M. M. Ahmad and N. Dhafr, ‘Establishing and improving manufacturing performance measures’, Robot Comput Integr Manuf, vol. 18, no. 3–4, pp. 171–176, Jun. 2002, doi: 10.1016/S0736-5845(02)00007-8.

J. K. Visser and M. W. Pretorius, ‘The Development of A Performance Measurement System for Maintenance’, SA Journal of Industrial Engineering, vol. 14, no. 1, pp. 83–97, 2003.

A. Rakar, S. Zorzut, and V. Jovan, ‘Assessment of production performance by means of KPI’, in Proceedings of the Control, 6-9., University of Bath, UK, 2004, p. 5.

M. Alba, L. Díez, E. Olmos, and R. Rodríguez, ‘Global Performance Management for Small and Medium-Sized Enterprises (GPM-SME)’, in Collaborative Networks and Their Breeding Environments, New York: Springer-Verlag, 2005, pp. 313–320. doi: 10.1007/0-387-29360-4_32.

P. N. Muchiri, L. Pintelon, H. Martin, and A.-M. De Meyer, ‘Empirical analysis of maintenance performance measurement in Belgian industries’, Int J Prod Res, vol. 48, no. 20, pp. 5905–5924, Oct. 2010, doi: 10.1080/00207540903160766.

W. B. Liu, W. Meng, J. Mingers, N. Tang, and W. Wang, ‘Developing a performance management system using soft systems methodology: A Chinese case study’, Eur J Oper Res, vol. 223, no. 2, pp. 529–540, Dec. 2012, doi: 10.1016/j.ejor.2012.06.029.

R. N. Sahu, L. K. Jena, and S. C. Parida, ‘Performance Management System as a Predictor of Organizational Effectiveness: Insights from Indian Manufacturing Industries’, Jindal Journal of Business Research, vol. 3, no. 1–2, pp. 137–152, Jun. 2014, doi: 10.1177/2278682115627214.

M. Behery, F. Jabeen, and M. Parakandi, ‘Adopting a contemporary performance management system. A fast-growth small-to-medium enterprise (FGSME) in the UAE’, International Journal of Productivity and Performance Management, vol. 63, no. 1, pp. 22–43, Jan. 2014, doi: 10.1108/IJPPM-07-2012-0076.

M. Ishaq Bhatti, H. M. Awan, and Z. Razaq, ‘The key performance indicators (KPIs) and their impact on overall organizational performance’, Qual Quant, vol. 48, no. 6, pp. 3127–3143, Nov. 2014, doi: 10.1007/s11135-013-9945-y.

N. Kumari, ‘Managing Business Quality Using a Performance Management System’, Journal of Industrial Distribution & Business, vol. 6, no. 3, pp. 9–17, 2015, doi: 10.13106/ijidb.2015.vol6.no3.9.

N. Kang, C. Zhao, J. Li, and J. A. Horst, ‘A Hierarchical structure of key performance indicators for operation management and continuous improvement in production systems’, Int J Prod Res, vol. 54, no. 21, pp. 6333–6350, Nov. 2016, doi: 10.1080/00207543.2015.1136082.

W. Chen and F. Xia, ‘The Design of the Performance Evaluation System for the Sales Assistants — Taking H Company as an Example’, Journal of Economics, Business and Management, vol. 8, no. 1, pp. 55–58, 2020, doi: 10.18178/joebm.2020.8.1.612.

S. J. Cash, S. D. Ingram, D. S. Biben, S. J. McKeever, R. W. Thompson, and J. Z. Ferrell, ‘Moving forward without looking back: Performance management systems as real-time evidence-based practice tools’, Child Youth Serv Rev, vol. 34, no. 4, pp. 655–659, Apr. 2012, doi: 10.1016/j.childyouth.2011.12.008.

S. F. Schulz and I. Heigh, ‘Logistics performance management in action within a humanitarian organization’, Management Research News, vol. 32, no. 11, pp. 1038–1049, Oct. 2009, doi: 10.1108/01409170910998273.

G. Manville and M. Broad, ‘Changing Times for Charities: Performance management in a Third Sector Housing Association’, Public Management Review, vol. 15, no. 7, pp. 992–1010, Oct. 2013, doi: 10.1080/14719037.2012.761722.

P. G. Radici Fraga, M. M. e S. Bernardes, J. C. de S. van der Linden, D. R. Vieira, and M. C. Chain, ‘Validation issues of a performance management system for design: three case studies’, International Journal of Productivity and Performance Management, vol. 70, no. 4, pp. 916–940, Jun. 2020, doi: 10.1108/IJPPM-02-2019-0063.

S. Kaupa and S. Olusegun Atiku, ‘Challenges in the Implementation of Performance Management System in Namibian Public Sector’, International Journal of Innovation and Economic Development, vol. 6, no. 2, pp. 25–34, 2020, doi: 10.18775/ijied.1849-7551-7020.2015.62.2003.

S. Marzuki, B. S. Laksmono, and A. Subroto, ‘Improving Government’s Performance Management by Using the Balanced Scorecard on Stakeholders Perspectives’, Journal of The Community Development in Asia, vol. 3, no. 3, pp. 29–47, Sep. 2020, doi: 10.32535/jcda.v3i3.888.

A. Yunianto, C. Anwar, and E. Gurendrawati, ‘Case Study Balance Scorecard as a Performance Management System for the Directorate General of Taxes’, Italienisch, vol. 12, no. 2, pp. 435–446, 2022.

M. A. Azis, ‘The Implementation of Performance Management System to Ensure Accountability in Public Sector: A Case Study in Sukabumi City’, International Journal of Kybernology, vol. 5, no. 2, pp. 281–293, 2020.

K. Miah and C. G. Hossan, ‘Performance Management System in Uk Retail Industry: a Case Study’, Far East Journal of Psychology and Business, vol. 7, no. 3, pp. 13–25, 2012.

R. Basu, ‘New criteria of performance management; A Transition from Enterprise to Collaborative Supply Chain’, Measuring Business Excellence, vol. 5, no. 4, pp. 7–12, Dec. 2001, doi: 10.1108/EUM0000000006514.

A. Abu-Suleiman, B. Boardman, and J. W. Priest, ‘A framework for an integrated supply chain performance management system’, in IIE Annual Conference and Exhibition 2004, 2004, pp. 613–618.

S. L. Harnanda, ‘Performance measurement of sustainable supply chain management (SSCM) in newly established cocoa-processing company in Southeast Sulawesi, Indonesia’, International Journal of Sustainable Development, vol. 09, no. 11, pp. 39–46, 2016.

S. A. Khan, A. Chaabane, and F. Dweiri, ‘A knowledge-based system for overall supply chain performance evaluation: a multi-criteria decision making approach’, Supply Chain Management: An International Journal, vol. 24, no. 3, pp. 377–396, May 2019, doi: 10.1108/SCM-06-2017-0197.

F. Haddadi and T. Yaghoobi, ‘Key indicators for organizational performance measurement’, Management Science Letters, vol. 4, no. 9, pp. 2021–2030, 2014, doi: 10.5267/j.msl.2014.8.019.

H. Radmanesh, N. Aghaee, M. Behdari, N. Rastegar, and M. Asadzadeh, ‘Applying Flexible Strategy Game-Card Approach for Designing Performance Management System?: The Case of Mobile- Telecommunication Company of Iran ( MCI )’, International Journal of Business, Economics and Management Works, vol. 4, no. 11, pp. 31–38, 2017.

M. Ettl, B. Zadrozny, P. Chowdhary, and N. Abe, ‘Business Performance Management System for CRM and Sales Execution’, in 16th International Workshop on Database and Expert Systems Applications (DEXA’05), IEEE, 2005, pp. 908–913. doi: 10.1109/DEXA.2005.58.

Hamdani and I. Vanany, ‘Performance Management System for Industrial Water Management Company using Balanced Scorecard Model’, in Proceedings of the Second Asia Pacific International Conference on Industrial Engineering and Operations Management Surakarta, Indonesia, 2021, pp. 1712–1719.

Thomas L. Saaty, ‘Decision making with the analytic hierarchy process’, International Journal of Services Sciences, vol. 1, no. 1, pp. 83–98, Jan. 2008, doi: 10.1504/IJSSci.2008.01759.

C. Hajdau and A.-M. Spiridonica, ‘AHP — Based weighting of criteria for medical equipment selection’, in 2015 E-Health and Bioengineering Conference (EHB), IEEE, Nov. 2015, pp. 1–5. doi: 10.1109/EHB.2015.7391519.

J. Papathanasiou and N. Ploskas, ‘TOPSIS’, in Springer Optimization and Its Applications, 2018, pp. 1–30. doi: 10.1007/978-3-319-91648-4_1.

S. I. Shafiq, C. Sanin, E. Szczerbicki, and C. Toro, ‘Virtual Engineering Factory: Creating Experience Base for Industry 4.0’, Cybern Syst, vol. 47, no. 1–2, pp. 32–47, Jan. 2016, doi: 10.1080/01969722.2016.1128762.

S. I. Shafiq, C. Sanin, C. Toro, and E. Szczerbicki, ‘Virtual engineering process (VEP): a knowledge representation approach for building bio-inspired distributed manufacturing DNA’, Int J Prod Res, vol. 54, no. 23, pp. 7129–7142, Dec. 2016, doi: 10.1080/00207543.2015.1125545.

P. Li, Y. Ren, Y. Yan, and G. Wang, ‘Conceptual design method driven by product genes’, Proc Inst Mech Eng B J Eng Manuf, vol. 234, no. 3, pp. 463–478, Feb. 2020, doi: 10.1177/0954405419876195.

L. Sun, S. Guo, S. Tao, Y. Li, and J. Guo, ‘A quality diagnosis method for the large equipments base on quality gene similarity’, The International Journal of Advanced Manufacturing Technology, vol. 69, no. 9–12, pp. 2173–2182, Dec. 2013, doi: 10.1007/s00170-013-5176-6.

B. Yang, C. Q. Gao, H. T. Li, and X. Z. Wang, ‘Tolerance evolutionary model and algorithm in product growth design’, The International Journal of Advanced Manufacturing Technology, vol. 65, no. 1–4, pp. 9–25, Mar. 2013, doi: 10.1007/s00170-012-4144-x.

A. M. Ubaid and F. T. Dweiri, ‘Virtual DNA ( V-DNA ) Applications?: A Systematic Literature Review’, in International Conference on Industrial Engineering and Operations Management, Bangkok, Thailand, March 5-7, 2019, 2019, pp. 213–224.

H. Chen, S. Wang, X. Cui, and K. Huang, ‘Product Growth Design Based Product Gene’, in Proceedings of the 2007 IEEE International Conference on Mechatronics and Automation August 5 - 8, 2007, Harbin, China, 2007, pp. 1251–1255.

G. Misra, ‘Process Mapping for Quality Improvement: Findings from Literature Review towards Application in ODL Institutions’, Journal of Open Learning and Research Communication, vol. V, pp. 38–52, 2019.

P. Trkman, ‘The critical success factors of business process management’, Int J Inf Manage, vol. 30, no. 2, pp. 125–134, Apr. 2010, doi: 10.1016/j.ijinfomgt.2009.07.003.

J. Papathanasiou and N. Ploskas, ‘AHP’, in Springer Optimization and Its Applications, 2018, pp. 109–129. doi: 10.1007/978-3-319-91648-4_5.

P. Chavan and A. Patil, ‘Taguchi-Based Optimization of Machining Parameter in Drilling Spheroidal Graphite Using Combined TOPSIS and AHP Method’, in Advanced Engineering Optimization Through Intelligent Techniques, 2020, pp. 787–797. doi: 10.1007/978-981-13-8196-6_70.

A. K. M. Masum, A. N. M. R. Karim, F. Bin Al Abid, S. Islam, and M. Anas, ‘A New Hybrid AHP-TOPSIS Method for Ranking Human Capital Indicators by Normalized Decision Matrix’, Journal of Computer Science, vol. 15, no. 12, pp. 1746–1751, Dec. 2019, doi: 10.3844/jcssp.2019.1746.1751.

Mohd. Ahmed, M. N. Qureshi, J. Mallick, Mohd. A. Hasan, and M. Hussain, ‘Decision Support Model for Design of High-Performance Concrete Mixtures Using Two-Phase AHP-TOPSIS Approach’, Advances in Civil Engineering, vol. 2019, pp. 1–8, Mar. 2019, doi: 10.1155/2019/1696131.

A. Kara?an, E. Bolturk, and C. Kahraman, ‘An Integrated Interval-Valued Neutrosophic AHP and TOPSIS Methodology for Sustainable Cities’ Challenges’, in Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making, 2020, pp. 653–661. doi: 10.1007/978-3-030-23756-1_79.

S. Humpage, ‘Introduction to Regression Analysis’, in Probability and Statistics for Finance, Wiley, 2010, pp. 129–152. doi: 10.1002/9781118267912.ch6.

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Published

31-10-2023

How to Cite

[1]
A. Ubaid and F. Dweiri, “Proposing a Smart Performance Management System for Production Workshop Based on Virtual Organizational Deoxyribonucleic Acid Concept”, NJES, vol. 26, no. 3, pp. 244–265, Oct. 2023, doi: 10.29194/NJES.26030244.

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