scholarly journals The Effect of Complexity and Work Motivation on The Performance of Minor Change-Scale Product Development Projects In Automotive Manufacturing Industry

OPSI ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 164
Author(s):  
Annisa Dewi Akbari ◽  
Indah Sepwina Putri
2020 ◽  
Vol 312 ◽  
pp. 01002
Author(s):  
Vuyo T Hashe

This paper was to investigate, explore and gain an understanding of the factors that enable and support supplier-client collaboration in New Product Development Projects (NPDP) within the South African manufacturing industry. This study was based on two case studies where two NPDP within South African on two different firms were studied. The predominant focus of this report studied the supplier involvement and relationship factors, supplier selection factors, and cultural environment and collaboration factors. The main data used was collected via interviews and internal company documents. The collected data was then analyzed and the outcome provided insight into the factors and relationship between these factors. This study noted that firms can enter into collaboration to accelerate the product development process. This includes enhancing the ability of the firm to respond to key customer needs. Firms can make use of the collaboration advantage where they see a market opportunity where their teams have less to no expertise and skills required to capture the opportunity. In addition, research and development costs stand to be reduced significantly, where the collaboration partner is chosen effectively. This study concludes by seeing it as beneficial to firms to collaborate with their suppliers under proper management.


Author(s):  
N.M.Z.N. Mohamed ◽  
M. K. Khan

Global manufacturing industry mostly depends on new product development and processes to become competitive. The product development process for automotive industry is normally complicated, lengthy, expensive, and risky. Hence, a study of lean manufacturing processes for low volume manufacturing in automotive industry is proposed to overcome this issue by eliminating all wastes in the lengthy process. This paper presents a conceptual design approach to the development of a hybrid Knowledge Based (KB) system for lean process in Low Volume Automotive Manufacturing (LVAM). The research concentrates on the low volume processes by using a hybrid KB system, which is a blend of KB system and Gauging Absences of Pre-requisites (GAP). The hybrid KB/GAP system identifies all potential waste elements of low volume process manufacturing. The KB system analyses the difference between the existing and the benchmark standards for lean process for an effective implementation through the GAP analysis technique. The proposed model explores three major lean process components, namely Employee Involvement, Waste Elimination, and Kaizen (continuous improvement). These three components provide valuable information in order for decision makers to design and implement an optimised low volume manufacturing process, but which can be applied in all process manufacturing, including chemical processing.


Author(s):  
Carina Beste ◽  
Torgeir Welo ◽  
Nils O. E. Olsson

Abstract In the execution of product development projects, deviation in time, budget and quality must be avoided. The expectations on these outcomes are high, especially in commodity-type projects, where most of the project content is assumed known upfront. On the other hand, increasingly complex project environments face constantly changes, where shift in scope is more the rule than the exception. In this study, we cluster factors assumed pushing the project boundaries of exploration in terms of innovation, complexity and newness. We pose an initial hypothesis that dealing with unplanned changes, or ‘newness’, has an overall negative outcome on project outcomes, despite the underlying intentions. It is also hypothesized that learning capabilities of the product development team is a major factor for successfully dealing with the dynamics of newness. To test both hypothesizes, we first developed and executed a survey involving 10 manufacturing companies. The participants were asked to rate 25 statements related to innovation, complexity and newness, and their perceived impact on overall project success. The results show a clearly negative correlation between successful projects and newness. To test the second hypothesis, the single statements for ‘newness’ was divided into positive and negative learning. The term ‘negative learning’ is used when stress occurs and therefore knowledge and abilities are not properly developed. Positive learning describes on the other hand if motivation is high and active learning occurs. The results show that newness statements related to positive learning has a positive impact on project outcomes, whereas negative learning has a negative impact on project success.


2020 ◽  
Vol 1 ◽  
pp. 511-520 ◽  
Author(s):  
C. Beste ◽  
T. Welo ◽  
N. Olsson

AbstractThere is little tolerance for deviation in time, budget and quality in the execution of product development projects. On the other hand, the project environment is gaining complexity. Changes on project scope are daily business. We set up an initial hypothesis, that unplanned changes -newness- has negative impact on projects. We developed and executed therefore a survey about factors belonging to innovation, complexity and newness to test their perceived impact on project success. Our data show a positive correlation between unsuccessful projects and newness, which is discussed in the paper.


2021 ◽  
pp. 025609092110056
Author(s):  
Abhishek Kumar ◽  
R. Dhanuskodi ◽  
R. Kaliappan ◽  
K. Nandakumar

2017 ◽  
Vol 14 (06) ◽  
pp. 1750040 ◽  
Author(s):  
Nnaemeka Vincent Emodi ◽  
Girish Panchakshara Murthy ◽  
Chinenye Comfort Emodi ◽  
Adaeze Saratu Augusta Emodi

This study investigates the factors influencing the Chinese manufacturing industry’s innovation and industrial performance utilizing a panel data approach on a sample of Chinese manufacturing enterprises over the period of 2008–2013. The industries were grouped according to related sectors into five groups, a general group was also created which included the whole data sample. The study found that research and development (R&D) expenditure positively influenced the growth of product innovation and industrial performance, but not necessarily knowledge innovation and export performance. Also, expenditure on new product development had a positive impact on both innovation and industrial performance. The growth of patent application was discovered to be influenced by an R&D project and foreign patent license. Finally, the number of enterprises and firm size (i.e. number of employees) contributed positively to the industrial output performance. The findings suggest that industrial R&D and new product development influences the success of product innovation and sales performance. The study recommends that the government should set up policies that will stimulate industrial R&D, while supporting technology transfers from foreign partners. Most importantly, government policies on the development of the industry should be addressed on a sectorial level and not a “one-size-fit-all” type of policy.


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