Optimising Product Enhancements Strategic Approaches to Managing Complexity
DOI:
https://doi.org/10.47672/ajce.2613Abstract
Purpose: This paper examines the strategic importance of product enhancements in competitive global markets. This research addresses the dual characteristics of product enhancement strategies by examining their incremental and transformational aspects. This research explores challenges because product development complexity increases due to advancing technology and pressing stakeholder needs along with reducing product lifespan durations.
Materials and Methods: The paper takes a conceptual approach, analyzing complexities in product development and reviewing tools such as Agile methodologies, PLM systems, modular design, and additive manufacturing. The study investigates customer insights alongside market trend analysis while exploring advanced technologies to tackle these challenges in the delivery sector.
Findings: Enhancements drive competitiveness, but complexities arise from rapid technology changes and demands. Tools like Agile and modular design improve processes, while customer insights foster innovation. Recommendations: Adopt Agile and PLM tools, leverage modular design, use customer feedback, and invest in sustainable, technology-driven solutions to balance innovation with efficiency.
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References
A. S. Hosseini, S. Soltani, and M. Mehdizadeh, “Competitive advantage and its impact on new product development strategy (Case study: Toos Nirro technical firm),” J. Open Innov. Technol. Mark. Complex., 2018, doi: 10.3390/joitmc4020017.
E. P. Garina, V. P. Kuznetsov, N. S. Andryashina, E. V. Romanovskaya, and S. N. Kuznetsova, “Exploring alternative strategies for managing the complexity of a product,” in Lecture Notes in Networks and Systems, 2019. doi: 10.1007/978-3-030-00102-5_78.
J. F. Hair, “Knowledge creation in marketing: The role of predictive analytics,” Eur. Bus. Rev., 2007, doi: 10.1108/09555340710760134.
M. Möller and C. Vuik, “A conceptual framework for quantum accelerated automated design optimization,” Microprocess. Microsyst., 2019, doi: 10.1016/j.micpro.2019.02.009.
T. Wang, Y. Chen, M. Qiao, and H. Snoussi, “A fast and robust convolutional neural network-based defect detection model in product quality control,” Int. J. Adv. Manuf. Technol., 2018, doi: 10.1007/s00170-017-0882-0.
A. Sanglub, P. Nilsook, and P. Wannapiroon, “Imagineering on augmented reality and digital twin for digital competence,” Int. J. Inf. Educ. Technol., 2019, doi: 10.18178/ijiet.2019.9.3.1201.
P. Aivaliotis, K. Georgoulias, and G. Chryssolouris, “The use of Digital Twin for predictive maintenance in manufacturing,” Int. J. Comput. Integr. Manuf., 2019, doi: 10.1080/0951192X.2019.1686173.
Y. Tchana, G. Ducellier, and S. Remy, “Designing a unique Digital Twin for linear infrastructures lifecycle management,” in Procedia CIRP, 2019. doi: 10.1016/j.procir.2019.04.176.
V. Krishnan and K. T. Ulrich, “Product development decisions: A review of the literature,” 2001. doi: 10.1287/mnsc.47.1.1.10668.
C. Rangu, S. Chatterjee, and S. R. Valluru, “Text mining approach for product quality enhancement: (Improving product quality through machine learning),” in Proceedings - 7th IEEE International Advanced Computing Conference, IACC 2017, 2017. doi: 10.1109/IACC.2017.0100.
V. V. Kumar and F. T. S. Chan, “A superiority search and optimisation algorithm to solve RFID and an environmental factor embedded closed loop logistics model,” Int. J. Prod. Res., 2011, doi: 10.1080/00207543.2010.503201.
V. V. Kumar, F. W. Liou, S. N. Balakrishnan, and V. Kumar, “Economical impact of RFID implementation in remanufacturing: a Chaos-based Interactive Artificial Bee Colony approach,” J. Intell. Manuf., 2015, doi: 10.1007/s10845-013-0836-9.
A. Azmi, N. A. Ahmad, L. K. Yiew, and Z. Abdul-Malek, “The use of enhancement material in grounding system: A review,” 2019. doi: 10.11591/ijeecs.v13.i2.pp453-460.
V. V. Kumar, M. K. Pandey, M. K. Tiwari, and D. Ben-Arieh, “Simultaneous optimization of parts and operations sequences in SSMS: A chaos embedded Taguchi particle swarm optimization approach,” J. Intell. Manuf., 2010, doi: 10.1007/s10845-008-0175-4.
B. Li and L. Huang, “The Effect of Incremental Innovation and Disruptive Innovation on the Sustainable Development of Manufacturing in China,” Sage Open, vol. 9, no. 1, Jan. 2019, doi: 10.1177/2158244019832700.
V. V Kumar, M. Tripathi, M. K. Pandey, and M. K. Tiwari, “Physical programming and conjoint analysis-based redundancy allocation in multistate systems: A Taguchi embedded algorithm selection and control (TAS&C) approach,” Proc. Inst. Mech. Eng. Part O J. Risk Reliab., vol. 223, no. 3, pp. 215–232, Sep. 2009, doi: 10.1243/1748006XJRR210.
C. Davis and Y. Tomoda, “Competing incremental and breakthrough innovation in a model of product evolution,” J. Econ. Zeitschrift fur Natl., 2018, doi: 10.1007/s00712-017-0568-y.
V. V. Kumar, S. R. Yadav, F. W. Liou, and S. N. Balakrishnan, “A digital interface for the part designers and the fixture designers for a reconfigurable assembly system,” Math. Probl. Eng., 2013, doi: 10.1155/2013/943702.
M. G. Luchs, K. S. Swan, and M. E. H. Creusen, “Perspective: A Review of Marketing Research on Product Design with Directions for Future Research,” in Journal of Product Innovation Management, 2016. doi: 10.1111/jpim.12276.
V. V. Kumar, F. T. S. Chan, N. Mishra, and V. Kumar, “Environmental integrated closed loop logistics model: An artificial bee colony approach,” in SCMIS 2010 - Proceedings of 2010 8th International Conference on Supply Chain Management and Information Systems: Logistics Systems and Engineering, 2010.
V. V. Kumar, A. Sahoo, and F. W. Liou, “Cyber-enabled product lifecycle management: A multi-agent framework,” in Procedia Manufacturing, 2019. doi: 10.1016/j.promfg.2020.01.247.
V. V Kumar, M. Tripathi, S. K. Tyagi, S. K. Shukla, and M. K. Tiwari, “An integrated real time optimization approach (IRTO) for physical programming based redundancy allocation problem,” Proc. 3rd Int. Conf. Reliab. Saf. …, no. August, 2007.
V. Kumar, V. V. Kumar, N. Mishra, F. T. S. Chan, and B. Gnanasekar, “Warranty failure analysis in service supply Chain a multi-agent framework,” in SCMIS 2010 - Proceedings of 2010 8th International Conference on Supply Chain Management and Information Systems: Logistics Systems and Engineering, 2010.
A. Trattner, L. Hvam, C. Forza, and Z. N. L. Herbert-Hansen, “Product complexity and operational performance: A systematic literature review,” 2019. doi: 10.1016/j.cirpj.2019.02.001.
V. V Kumar, “An interactive product development model in remanufacturing environment : a chaos-based artificial bee colony approach,” Spring, 2014, [Online]. Available: https://scholarsmine.mst.edu/cgi/viewcontent.cgi?article=8243&context=masters_theses
J. R. San Cristóbal, L. Carral, E. Diaz, J. A. Fraguela, and G. Iglesias, “Complexity and project management: A general overview,” 2018. doi: 10.1155/2018/4891286.
M. Danilovic and T. R. Browning, “Managing complex product development projects with design structure matrices and domain mapping matrices,” Int. J. Proj. Manag., 2007, doi: 10.1016/j.ijproman.2006.11.003.
M. R. Kishore Mullangi, Vamsi Krishna Yarlagadda, Niravkumar Dhameliya, “Integrating AI and Reciprocal Symmetry in Financial Management: A Pathway to Enhanced Decision-Making,” Int. J. Reciprocal Symmetry Theor. Phys., vol. 5, no. 1, pp. 42–52, 2018.
S. K. R. A. Sai Charan Reddy Vennapusa, Takudzwa Fadziso, Dipakkumar Kanubhai Sachani, Vamsi Krishna Yarlagadda, “Cryptocurrency-Based Loyalty Programs for Enhanced Customer Engagement,” Technol. Manag. Rev., vol. 3, no. 1, pp. 46–62, 2018.
I. Gorzeń-Mitka and M. Okręglicka, “Managing Complexity: A Discussion of Current Strategies and Approaches,” Procedia Econ. Financ., 2015, doi: 10.1016/s2212-5671(15)01018-7.
V. K. Y. Mohamed Ali Shajahan, Nicholas Richardson, Niravkumar Dhameliya, Bhavik Patel, Sunil Kumar Reddy Anumandla, “AUTOSAR Classic vs. AUTOSAR Adaptive: A Comparative Analysis in Stack Development,” Eng. Int., vol. 7, no. 2, pp. 161–178, 2019.
W. Vogel and R. Lasch, “Complexity drivers in manufacturing companies: a literature review,” 2016. doi: 10.1007/s12159-016-0152-9.
V. K. Y. Nicholas Richardson, Rajani Pydipalli, Sai Sirisha Maddula, Sunil Kumar Reddy Anumandla, “Role-Based Access Control in SAS Programming: Enhancing Security and Authorization,” Int. J. Reciprocal Symmetry Theor. Phys., vol. 6, no. 1, pp. 31–42, 2019.
J. KIM and D. WILEMON, “COMPLEXITY AND THE MULTIPLE IMPACTS ON NEW PRODUCT DEVELOPMENT: RESULTS FROM A FIELD STUDY,” Int. J. Innov. Technol. Manag., vol. 09, no. 06, p. 1250043, Dec. 2012, doi: 10.1142/S0219877012500435.
J. Kim and D. Wilemon, “An empirical investigation of complexity and its management in new product development,” Technol. Anal. Strateg. Manag., 2009, doi: 10.1080/09537320902819296.
D. Olausson and C. Berggren, “Managing uncertain, complex product development in high-tech firms: In search of controlled flexibility,” R D Manag., 2010, doi: 10.1111/j.1467-9310.2010.00609.x.
K. Sultan, S. Akram, S. Abdulhaliq, D. Jamal, and R. Saleem, “A Strategic Approach to the Consumer Perception of Brand on the Basis of Brand Awareness and Brand Loyalty,” Int. J. Res. Bus. Soc. Sci. (2147- 4478), 2019, doi: 10.20525/ijrbs.v8i3.259.
C. S. Katsikeas, C. N. Leonidou, and A. Zeriti, “Eco-friendly product development strategy: antecedents, outcomes, and contingent effects,” J. Acad. Mark. Sci., 2016, doi: 10.1007/s11747-015-0470-5.
M. Kodama, “Developing strategic innovation in large corporations The dynamic capability view of the firm,” Knowl. Process Manag., 2017, doi: 10.1002/kpm.1554.
M. Z. Hasan, R. Fink, M. R. Suyambu, and M. K. Baskaran, “Assessment and improvement of intelligent controllers for elevator energy efficiency,” in IEEE International Conference on Electro Information Technology, 2012. doi: 10.1109/EIT.2012.6220727.
Y. H. Percival Zhang, M. E. Himmel, and J. R. Mielenz, “Outlook for cellulase improvement: Screening and selection strategies,” 2006. doi: 10.1016/j.biotechadv.2006.03.003.
M. Z. Hasan, R. Fink, M. R. Suyambu, and M. K. Baskaran, “Assessment and improvement of elevator controllers for energy efficiency,” in Digest of Technical Papers - IEEE International Conference on Consumer Electronics, 2012. doi: 10.1109/ISCE.2012.6241747.
M. Z. Hasan, R. Fink, M. R. Suyambu, M. K. Baskaran, D. James, and J. Gamboa, “Performance evaluation of energy efficient intelligent elevator controllers,” in IEEE International Conference on Electro Information Technology, 2015. doi: 10.1109/EIT.2015.7293320.
C. H. Li and H. K. Lau, “Toy product safety enhancement using smart product development,” in ISPCE-CN 2018 - IEEE International Symposium on Product Compliance Engineering - Asia, 2018. doi: 10.1109/ISPCE-CN.2018.8805755.
A. S. Cui, K. Chan, and R. Calantone, “The Learning Zone in New Product Development,” IEEE Trans. Eng. Manag., vol. 61, no. 4, pp. 690–701, Nov. 2014, doi: 10.1109/TEM.2014.2331757.
R. Iyer, R. Mandrekar, A. Aggarwal, P. Chaphekar, and G. Bhatia, “RecoMob: Opinion mining for product enhancement,” in 2017 International Conference on Computer Communication and Informatics, ICCCI 2017, 2017. doi: 10.1109/ICCCI.2017.8117687.
Q. Xiu and K. Muro, “Robust inference traceability technology for product quality enhancement,” in IEEE International Conference on Industrial Engineering and Engineering Management, 2017. doi: 10.1109/IEEM.2017.8290181.
Sarisa, M., Boddapati, V. N., Patra, G. K., Kuraku, C., Konkimalla, S., & Rajaram, S. K. (2020). An Effective Predicting E-Commerce Sales & Management System Based on Machine Learning Methods. Journal of Artificial Intelligence and Big Data, 1(1), 75–85.
Gollangi, H. K., Bauskar, S. R., Madhavaram, C. R., Galla, E. P., Sunkara, J. R., & Reddy, M. S. (2020). Exploring AI Algorithms for Cancer Classification and Prediction Using Electronic Health Records. Journal of Artificial Intelligence and Big Data, 1(1), 65–74. Retrieved from
Manikanth Sarisa, Venkata Nagesh Boddapati, Gagan Kumar Patra, Chandrababu Kuraku, Siddharth Konkimalla, Shravan Kumar Rajaram.Navigating the Complexities of Cyber Threats, Sentiment, and Health with AI/ML. (2020). JOURNAL OF RECENT TRENDS IN COMPUTER SCIENCE AND ENGINEERING (JRTCSE), 8(2), 22-40. https://doi.org/10.70589/JRTCSE.2020.2.3
Gollangi, H. K., Bauskar, S. R., Madhavaram, C. R., Galla, E. P., Sunkara, J. R., & Reddy, M. S. (2020). Unveiling the Hidden Patterns: AI-Driven Innovations in Image Processing and Acoustic Signal Detection. (2020). JOURNAL OF RECENT TRENDS IN COMPUTER SCIENCE AND ENGINEERING (JRTCSE), 8(1), 25-45. https://doi.org/10.70589/JRTCSE.2020.1.3.
Hemanth Kumar Gollangi, Sanjay Ramdas Bauskar, Chandrakanth Rao Madhavaram, Eswar Prasad Galla, Janardhana Rao Sunkara and Mohit Surender Reddy.(2020). “Echoes in Pixels: The intersection of Image Processing and Sound detection through the lens of AI and Ml”, International Journal of Development Research. 10,(08),39735-39743. https://doi.org/10.37118/ijdr.28839.28.2020.
Manikanth Sarisa, Venkata Nagesh Boddapati, Gagan Kumar Patra, Chandrababu Kuraku, Siddharth Konkimalla and Shravan Kumar Rajaram. “The power of sentiment: big data analytics meets machine learning for emotional insights”, International Journal of Development Research, 10, (10), 41565-41573. https://doi.org/10.37118/ijdr.28840.10.2020
Mohit Surender Reddy, Manikanth Sarisa, Siddharth Konkimalla, Sanjay Ramdas Bauskar, Hemanth Kumar Gollangi, Eswar Prasad Galla, Shravan Kumar Rajaram, 2021. "Predicting tomorrow’s Ailments: How AI/ML Is Transforming Disease Forecasting", ESP Journal of Engineering & Technology Advancements, 1(2): 188-200.
K. Gollangi, S. R. Bauskar, C. R. Madhavaram, P. Galla, J. R. Sunkara, and M. S. Reddy, “ECHOES IN PIXELS: THE INTERSECTION OF IMAGE PROCESSING AND SOUND OPEN ACCESS ECHOES IN PIXELS: THE INTERSECTION OF IMAGE PROCESSING AND SOUND DETECTION,” Int. J. Dev. Res., vol. 10, no. 08, pp. 39735–39743, 2020, doi: 10.37118/ijdr.28839.28.2020.
Gollangi, H. K., Bauskar, S. R., Madhavaram, C. R., Galla, E. P., Sunkara, J. R., & Reddy, M. S. (2020). Unveiling the Hidden Patterns: AI-Driven Innovations in Image Processing and Acoustic Signal Detection. (2020). JOURNAL OF RECENT TRENDS IN COMPUTER SCIENCE AND ENGINEERING (JRTCSE), 8(1), 25- 45. https://doi.org/10.70589/JRTCSE.2020.1.3.
Gollangi, H. K., Bauskar, S. R., Madhavaram, C. R., Galla, E. P., Sunkara, J. R., & Reddy, M. S. (2020). Exploring AI Algorithms for Cancer Classification and Prediction Using Electronic Health Records. Journal of Artificial Intelligence and Big Data, 1(1), 65–74. Retrieved from https://www.scipublications.com/journal/index.php/jaibd/article/view/1109
Gagan Kumar Patra, Shravan Kumar Rajaram, & Venkata Nagesh Boddapati. (2019). Ai And Big Data In Digital Payments: A Comprehensive Model For Secure Biometric Authentication. Educational Administration: Theory and Practice, 25(4), 773–781. https://doi.org/10.53555/kuey.v25i4.7591
Chandrababu Kuraku, Hemanth Kumar Gollangi, & Janardhana Rao Sunkara. (2020). Biometric Authentication In Digital Payments: Utilizing AI And Big Data For Real-Time Security And Efficiency. Educational Administration: Theory and Practice, 26(4), 954–964. https://doi.org/10.53555/kuey.v26i4.7590
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Copyright (c) 2021 Chethan Sriharsha Moore, Suneel Babu Boppana, Varun Bodepudi, Krishna Madhav Jha, Srinivasa Rao Maka, Gangadhar Sadaram

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