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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.

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.

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.

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.

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.

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.

Food industry players obtain the advantages of profits growth within the halal industry whereby the market is dynamic to generate profit. Hence, this study aims to analyse the perception of food manufacturers towards the adoption of the halal food supply chain (HFSC).

For this study, 103 halal food manufacturers in Malaysia were selected as respondents. Perceptions of respondents towards HFSC were recorded using a five-point questionnaire. The questionnaire was designed by authors and adapted from a previous study. The questionnaire was circulated by two experts with proficiency in this filed.

By conducting exploratory factor analysis, the study found the perception of food manufacturers, which is expected business benefits play an important role in the adoption of HFSC. Halal integrity becomes the second factor to lead the company to its adoption. Organizational readiness is the third factor that drives the company to adopt HFSC.

Majority of the sample was responded by Bumiputera companies. The study suggests focussing the study for non-Bumiputera companies to examine their influence towards HFSC. Furthermore, future studies should explore different sectors of halal, such as pharmaceuticals, cosmetics, travel and tourism, logistics, finance and e-commerce. Moreover, ensuring the status of halal should be more emphasized in food chains; thus, the source of risk in HFSC should be explored to secure the integrity of halal.

The paper includes implications for the halal food industry, whereby the adoption of HFSC will contribute to the business benefits to create a more competitive advantage to the industry. Moreover, the implications of halal practice can create consumers’ trust on the halal product.

This paper fulfils an analysed need to study specifically on upstream parties by adopting HFSC.

This paper aims to review the methods used by an automotive manufacturer in enhancing the supply chain management (SCM) system through a set up termed product and vendor development (PVD) programme. PVD was developed to eliminate problems faced due to late delivery and poor quality of supplies and availability of supplies at the lowest possible costs.

The paper explores the step‐by‐step methodologies that have been employed by the PVD.

Results overtime show that the PVD has improved the SCM system especially in the areas of quality and delivery services, other services and cutting costs that manufacturers had to face due to problems that arose in the shortcomings of the supply services.

The PVD has managed to promote the localization programme and has also been able to establish qualified vendors through the structured vendor performance evaluation.

Findings also establish that the PVD team is the key to success for development of the PVD programme.

The paper presents an original discussion about viewing PVD programme from a successful automotive manufacturer. The structured PVD programme helps the team better understand the product development process involving supplier selection and supplier performance measure.

This paper aims to address the supplier selection (SS) problem under dynamic business environments to optimize the procurement cost of spare-parts in the context of a mining equipment company (MEC). Practically, involved parameters’ value does not remain constant as planning periods due to fluctuation in the demand and their market dynamics. Therefore, dynamicity in the parameter is considered as an important factor when a company forms a responsive chain through most eligible suppliers with respect to planning periods. This area of study may be considered for their complexities to the approaches toward order-allocations with bi-products of unused and repair spare-parts.

An integrated methodology of analytic hierarchy process (AHP) and mixed-integer non-linear programming (MILP) is implemented in the two stages during each planning periods. In the first stage, AHP is used to obtain the relative weights with respect to each spare-parts of each criterion and based on that, the ranking is evaluated in accordance with case considered. And in the second stage, MILP is formulated to find the allocations of each spare-part with two distinct approaches through Model-1 and Model-2 separately. Moreover, Model-1 and Model-2 are outlined based on the ranking and efficient parameters-value under cost, limited capacities, quality level and delay lead time respectively.

The ranking and their optimal order-allocation of potential suppliers are obtained during consecutive planning periods for both unused and repair spare-parts. Subsequently, sensitivity analysis is conducted to deduce the key nuggets with the comparison of Model-1 and Model-2 in the changing of capacity, demand and cost per spare-parts. From this analysis, it is found that suppliers who have optimal parameter settings would be better for order-allocations than ranking during the changing planning period.

This paper points out the situation-specific approach for SS problem for a mining industry which often faces disruptive supplying environments. The managerial implication between ranking and parameters are highlighted through Model-1 and Model-2 by sensitivity analysis.

It provides useful directions for managers who are involved in the procurement of spare-parts in the mining environment. For this, suppliers are selected for order-allocation by using Model-1 and Model-2 in the dynamic business environment. The solvability of the model is presented using LINGO 17. Furthermore, the case company selected in this study can be extended to other sectors.