Purpose The purpose of this paper is to investigate the implementation of sustainable manufacturing practices in Malaysian palm oil mills (POMs) by comparing the status of their current achievements and the levels of priority placed on their practices. Design/methodology/approach A questionnaire survey was used to collect data about 20 sustainable manufacturing practices from 51 POMs located in Malaysia. A five-point Likert scale was considered for recording variations in priorities and current practices with regard to sustainable manufacturing. A Cronbach’s α reliability test and a binomial test were undertaken to assess the internal consistency and the validity of the survey data. Spearman’s ρ correlation analysis was employed to determine the linear correlation between each of the sustainability practices identified. Factor analysis was conducted to reduce the number of sustainable manufacturing practices based on factor loading and to derive a clustering of these factors. Findings The results showed that employees’ well-being has the highest level in terms of both priority and current achievement. However, for other sustainable manufacturing practices, there was a difference where the current achievement of these practices in the Malaysian POMs was seen to be slightly lower than the priority given to them. Strong correlation of significant value was observed between the minimization of production waste and pollution prevention practices. From factor analysis, 15 practices of high factor loading were grouped into a proactive sustainability strategy and a preventive sustainability strategy. Research limitations/implications The study was still relatively exploratory. Future studies could investigate the barriers to the implementation of sustainable manufacturing practices at Malaysian POMs. The sample, which consisted of 51 Malaysian POMs, represented an important sector of the Malaysian economy. Reliance on stated, rather than revealed, preferences may limit the implications of the analysis undertaken for this study, but it does represent a major step forward in understanding the past in what was a highly recommended sector for investigation due to the paucity of extant data. A more broadly based, random sample of POMs from other countries would provide a better understanding of issues related to sustainable manufacturing practices. Practical implications The results of this study can be used by practitioners to adjust the sustainable manufacturing practices currently applied and further studies may go on to examine the reasons and implications for discrepancies between priorities and desired sustainability goals in more detail. Originality/value The survey conducted about sustainable manufacturing practices amongst Malaysian POMs was focussed on the three dimensions of sustainability, namely, the economic, environmental, and social elements involved.

The need to have an efficient transportation system has attracted worldwide attention. Although there is increasing demand to implement distributed control system for industrial applications, there is still an unexplored potential of deploying distributed transportation system. This paper focuses on dynamic assignment of transportation requests to a fleet of vehicles in real time. We introduce an improved combinatorial auction methodology to accommodate the distributed task assignment procedure. Based on a multiagent architecture, each vehicle is represented by an intelligent agent that bids for task and plans its own schedule. On the other hand, the auctioneer has the objective of minimizing transportation tardiness. An automated guided vehicle (AGV) has been selected as the case study, and numerical experiments have been carried out. The result obtained shows that the improved task assignment approach is able to produce performance competitive to a conventional task assignment. © 2013 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

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This paper focus on the translation of Overall Equipment Effectiveness (OEE) measure into manufacturing sustainability based on literature study. It examines the three OEE contributing factors; availability, performance, and quality; and the sustainable manufacturing components including environmental conservation, social efficiency, and economic enhancement. The OEE measure is not only possible to improve productivity through the identification and elimination of manufacturing major losses but its implementation has its own merits towards sustainable manufacturing. The findings can be used as an initial reference for manufacturers to consider OEE measure to advance the goal of manufacturing sustainability.

Additive manufacturing (AM) stands out as one of the promising technologies that have huge potential towards manufacturing industry. The study on additive manufacturing impact on the environment and occupational exposure are attracting growing attention recently. However, most of the researcher focus on desktop and fused deposition modelling type and less attention given to the industrial type of AM. Usually, during the selective laser sintering process, recycle powder will be used again to reduce cost and waste. This article compares the PM 2.5, carbon dioxide (CO2) and total volatile organic compound (TVOC) concentration between virgin and recycles powder using polyamide-nylon (PA12) towards indoor concentration. Four phases of sampling involve during air sampling accordingly to the Industry Code of Practice on Indoor Air Quality 2010 by DOSH Malaysia. It was found that PM 2.5 and CO2concentration are mainly generated during the pre-printing process. The recycle powder tended to appear higher compared to virgin powder in terms of PM 2.5, and CO2. The peak value of PM 2.5 is 1452 µg/m3 and CO2 is 1218 ppm are obtained during the pre-printing process during 8 hours of sampling. TVOC concentration from recycling powder is slightly higher during the post- printing phase where confirm the influence of the powder cake and PA12 temperature from the printing process. In summary, this work proves that elective laser sintering (SLS) machine operators are exposed to a significant amount of exposure during the SLS printing process. Mitigation strategies and personal protective equipment are suggested to reduce occupational exposure.

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Increasing number of worldwide researchers and practitioners within manufacturing industry had recognized the need for an organization to implement distributed manufacturing system to be flexible and adaptable to a more demanding and fluctuating market. This paper proposes distributed architecture to control Automated Guided Vehicle (AGV) operation in manufacturing industry based on multi-agent system (MAS). System and agent architectures had been designed to enable control the material handling activities. All agents are equipped with decision making capability to plan and execute their responsibilities autonomously or collectively when needed. Additionally, improvement had been made to FIPA Contract Net Protocol (CNP) to support dynamic attributes of AGV task assignment mechanism.

Vision system is gradually becoming more important. As computing technology advances, it has been widely utilized in many industrial and service sectors. One of the critical applications for vision system is to navigate mobile robot safely. In order to do so, several technological elements are required. This article focuses on reviewing recent researches conducted on the intelligent vision-based navigation system for the mobile robot. These include the utilization of mobile robot in various sectors such as manufacturing, warehouse, agriculture, outdoor navigation and other service sectors. Multiple intelligent algorithms used in developing robot vision system were also reviewed.