Purpose This study aims to improve productivity and customer satisfaction through lean manufacturing for metals and engineering industries. Its aims also to understand the concept of lean manufacturing, various tools and techniques of lean, lean implementation benefits and barrier toward its implementation. Then, on the basis of the result, a conceptual frame work was developed to reduce the existing gaps. Design/methodology/approach Lean thinking is one of the methods that can bring productivity and customer’s demand improvement for manufacturing and service giving industries. To arrive at the lean thinking productivity improvement and customer satisfaction of the sector (MEIs), intensive literature review and secondary data investigation were conducted. Findings Articles and secondary data related to the case were reviewed and found the existing gaps. The gaps identified such as missing energy waste, space waste and material waste, waste of knowledge or talents. In addition to the 5 S of kaizen, this study added safety as the sixth on the existing Kaizen’s strategies. In lean practice, managers give priority to waste reduction and ignore the product quality aspect, which lead to dissatisfaction among customers. Fragmented implementation of lean manufacturing and the conflict between human resource waste and unemployment were reconciled in this study. A model that can improve productivity and increase customer satisfaction was developed. Solutions to alleviate the problems and speed up development were forwarded. Research limitations/implications This study focused solely on the manufacturing industries of developing countries, specifically deals with basic metals and engineering industries. In addition to this, the research didn’t take a case study on a specific firm as it is a literature review. Practical implications The findings of this study emphasized that lean manufacturing is the key for wise resource utilization, which enables a firm for cost, lead time and waste reductions on one hand and productivity and flexibility improvements on the other. To the end, lean can bring sustainable development and bright images to firms, and wellbeing life to workers together with customer satisfaction. Originality/value The gaps that have not been identified by other researchers were clearly discussed, and on the basis of the gaps, a new conceptual model was developed. This is useful to basic metals and engineering industries in overcoming resource-limitation problems by eliminating wastes.
Although Supply Chain Management (SCM) and Industrial Cluster (IC) are two different fields of study, it has been identified that there is a natural and internal relationship between these two theories. Most of research works depict that, integration of the two concepts is in its infancy. The aim of this research is to review the integration between supply chain management and industrial cluster, at the same time to identify the gap and propose solution. To achieve the research aim, two pairs of keywords namely "supply chain" and "industrial cluster" were used, to track literatures from the online databases. The search initially identified over 46 articles. After further screening, they were reduced to 17. Finally, contents of these articles were analyzed based on their general focus area. From the content analysis, considerable evidences are found in the literature review on the integration of supply chain management with industrial cluster. The entire emphasis of the previous researches was on cluster supply chain (CSC) management, which highly promotes efficient operations of industrial clusters. Most of the CSC articles focused on the importance of cluster supply chain. However, there are few researches in the design, implementation and improvement of cluster supply chain. On the other hand, the role of industrial clusters in a global supply chain management and benchmarking of best practices have not yet been given the attention they deserve in previous studies. This is one of the first studies which critically examine researches that deal about supply chain management and industrial cluster integration theories.
Abstract. The purpose of this paper is to develop structural classi¯cation of Stochastic Vehicle Routing Problem (SVRP) by di®erent domains and attributes. This research used a systematic review and meta-analysis on SVRP literatures. This includes browsing relevant researches and publications, screening related articles, identifying domains, attributes and categorising the articles based on the identi¯ed domains and attributes. Thē ndings of the study show clear di®erences on the number of studies under each domain and attribute. Most studied attributes are stochastic customer demand, capacitated vehicle, synthesis data and objective function with cost minimization. Whereas the least studied are maximisation objective function, stochastic service time, and an applied model using stochastic with recurs. The research helps to summarise and map a comprehensive survey on SVRP literatures so that various contributions in the¯eld are organised in a manner that provide a clear view for the readers and identify future research directions. This paper is the¯rst of its kind in the¯eld of SVRP that develop a classi¯cation scheme for articles published since 1993 to enhances the development of this newly emerging discipline.
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