• A conceptual framework for the implementation of sustainability business processes

      Gallotta, Bruno; Garza-Reyes, Jose Arturo; Anosike, Anthony; Lim, Ming K.; Roberts, Ian; The University of Derby (Production and Operations Management Society, 2016-05)
      This research aims to provide a complete solution to achieve true sustainability in business processes, evaluating all relevant aspects. This paper demonstrates a conceptual framework with a case study to simulate scenarios of potential applications, and discusses the simulation results of different aspects organisations struggle to succeed in the implementation.
    • How supplier selection criteria affects business performance? A study of UK automotive sector

      Navasiri, Pabhavi; Kumar, Vikas; Garza-Reyes, Jose Arturo; Lim, Ming K.; Kumari, Archana; The University of Derby (Nottingham University Business School, 2016-07-03)
      According to KPMG international (2015), global sales of automobiles are forecasted to reach 73.9 million vehicles and expected to hit 100 million units in the next two years. This shows that automotive sector has a tremendous growth potential and UK automotive sector is no different. However, in recent years the growing environmental awareness has become a major concern for automotive sector as they are faced with pressure of reducing carbon emissions as well as the costs. Suppliers play a significant role in achieving environmental goals set by organisations. Under these circumstances it is worth exploring the criteria that are used in assessing suppliers including the green aspects and how that affects the business performance. Design/methodology/approach: This research adopts a mixed method research approach. In order to collect the quantitative data a survey questionnaire was constructed and sent to automotive businesses listed in the FAME database. In order to triangulate the findings of this study, survey was complemented with in-depth interviews. Around 100 automotive manufacturers were invited for the survey however only 38 usable responses were received. In total seven semi-structured interviews were also conducted with people from different backgrounds and work experiences in the automotive sector. Findings: Literature identified delivery, cost, quality and technology as the supplier assessment criteria commonly used in assessing suppliers in automotive industries. Yet the issue of culture and green supply chain practices (GSP) were also widely concerned in several studies. The data analysis showed that delivery, quality, cost, technology, culture are correlated with exception of green supply chain practices. GSP was only found to be correlated with technology and cultural criteria. Semi-structured interviews suggest delivery and quality as the most important criteria when assessing supplier because of their greater impact toward business performance and reputation. Findings from all respondents also showed that most automotive manufacturers have already adopted environmental competency in their criteria. However, interviewees mentioned that this criterion does not take a major role in assessment compared with other criteria. The results also indicate that all factors studied do affect the business performance of automotive organisations. Value: This study contributes to the limited literature focused on assessing supplier selection criteria and business performance linkage in the UK automotive organisations. In addition, most studies on supplier selection and business performance ignore the green practices as important criteria which this study aims to address. Research limitations/implications: The study is based on the findings from a limited survey responses and semi-structured interviews. Having larger sample population would certainly improve the validity of the findings. The perspective of SMEs and large businesses with regard to each supplier selection criterion may be different hence the future research in this domain would also provide some valuable contributions. Practical implications: The survey responses indicate green supply practices as one of the important criteria in supplier selection. This suggests that automotive manufacturers should realize the importance of green practices while selecting their suppliers. This will help them to meet their own green goals while simultaneously meeting the government environmental.
    • Improving road transport operations through lean thinking: A case study

      Villarreal, Bernardo; Garza-Reyes, Jose Arturo; Kumar, Vikas; Lim, Ming K.; University of Derby (Taylor and Francis, 2016-04)
      Traditionally, logistics and transportation problems have been addressed through mathematical modelling, operations research, and simulation, but criticism has emerged about their effectiveness to actually address real-life problems. This paper documents a case study whereby the road transport operations of a leading Mexican brewery were improved through lean thinking and waste reduction. Two lean-based principles and tools were combined; the Seven Transportation Extended Wastes and Transportation Value Stream Mapping. Three systematic steps were proposed to facilitate the implementation of improvement. Feasibility studies conducted in this research suggested that lean thinking is an effective alternative for the improvement of road transport operations. The findings of this research could be used as guidance for transport managers to improve road transport operations. This paper also expands the limited evidence of the application of lean thinking in road transport logistics and highlights the research areas where its application has been concentrated in this sector.
    • Lean manufacturing and environmental performance – exploring the impact and relationship

      Nadeem, Simon Peter; Garza-Reyes, Jose Arturo; Leung, Sin-Ching; Cherrafi, Anass; Anosike, Anthony; Lim, Ming K.; University of Derby; PAL Surface Treatment System Ltd.; Cadi Ayyad University; Coventry University (Springer, 2017-08-29)
      The relationship between Lean Manufacturing and Environmental Performance has attracted much debate but at the same time lack of empirical evidence leaves haphazard opinions on this matter. The objective of this paper is therefore to pro-vide some insight into the impact of Lean Manufacturing on Environmental Per-formance and the existing relationship of these two concepts. Four semi-structured interviews with industrial and academic experts provided a solid ground to suggest that the relationship does exist, despite the fact that these two concepts were developed independently from each other. Being the exploratory nature of this study and its purpose to ignite further research, it does not employ a quantitative approach. The results of this study can help managers to better un-derstand and concurrently tackle both the economic and environmental challenges faced by their organizations.
    • Measuring the level of lean readiness of the Hong Kong's manufacturing industry

      Garza-Reyes, Jose Arturo; Wong, Kam-Kuen; Lim, Ming K.; Kumar, Vikas; The University of Derby (2016-06)
      Increasingly competitive business environments have forced manufacturing organisations to continuously seek improvements in their production processes as an alternative to achieve operational excellence. Lean manufacturing principles and techniques based on the elimination waste have been widely used by manufacturing organisations around the world to drive such improvements. The purpose of this paper is to present an empirical study that evaluates the readiness level of the Hong Kong’s manufacturing industry to provide a foundation for the successful implementation and/or sustainment of lean practices. To conduct this study, the paper adapts an assessment framework developed by Al-Najem et al. [16]. Thus, the lean readiness assessment is based on six quality practices (i.e. planning & control; processes; human resources; customer relations; supplier relations; and top management & leadership) related to lean manufacturing. One research question and three hypotheses were formulated and tested using a combination of inferential statics (i.e. Levene’s test and t-test) and descriptive statistics. Data were collected through a survey questionnaire responded by 9 manufacturing organisations with operations in Hong Kong. The findings suggest that the Hong Kong’s manufacturing organisations surveyed do not currently have a well-developed foundation to implement or sustain lean manufacturing. In particular, these organisations present important opportunities to further develop some quality practices such as processes, planning & control, customer relations, supplier relations, human resources, and top management & leadership. The improvement of these quality practices will ensure, according to Al-Najem et al.’s [16] framework, a more effective implementation and sustainment of lean manufacturing in their operations.
    • A synergistic approach to process innovation.

      Anosike, Anthony; Lim, Ming K.; University of Derby (International Conference on Knowledge, Innovation and Enterprise, 2014-04-22)
      With the continuing globalisation of the economy comes increasing number of competitors. Consequently, products lifecycles has continued to fall as companies strive to out-manoeuvre one another by introducing product and service innovations to meet the needs of increasingly choosy customers. This has created a business environment where change has become widespread and persistent. As processes are the engines that power organisations to deliver the values required by customers, it becomes imperative that to have competitive edge, or even survive in this sort of business environment, these processes need to be not only adaptable to the changes but also be capable of inducing the changes that would benefit the organisations. To investigate the feasibility of adaptable and change inducing processes, the research presented in this paper explores the synergies amongst three techniques for problems solving and process improvement: Theory of Inventive Problem Solving, which is more commonly known by its Russian acronym, TRIZ; Theory of Constraints (TOC); and Lean Manufacturing.