International Journal of Supply and Operations Management
Volume:8 Issue: 3, Summer 2021

The aim of this research is to investigate the effect of organizational culture (OC) on employee engagement (EE) and employee performance (EP) among academic staff of Malaysian Private Universities (MPU). However, studies of such have been given less attention within the context of MPU. Therefore, this paper highlights the issue through a systematic review of previous literature on the subject matter. A questionnaire was used to collect data from the respondents while Partial Least Square-Structural Equation Modeling (PLS-SEM) was used to test the study hypotheses. The results revealed that OC has a significant effect on EP while EE partially mediates the relationship between OC and EP. This study encourages university management to initiate sound OC and at the same time invest in OC in order to actualize EE and achieve a sustainable EP. This research has made a significant contribution to the operationalization of OC, EE, and EP literature which help to develop model, theory, research and practice in the fields of job performance.

Product customization is considered as the widespread strategy for the actual market trend oriented toward customer focus. In this field, mass customization sights mainly to emerge economy of scale and economy of scope in order to integrate mass production principles with customization abilities. This research views the collaborative management through an integrated procurement, production and distribution mixed integer linear programming (MILP) as a planning modeling approach for a multi-echelon and multi-site supply chain within tactical decision level. The model formulation is based on dyadic relationships according to leaders and followers tradeoffs where the supply chain’s stakeholders are depicted as follows, a) customers: Original Equipment Manufacturers (OEMs) identified as leaders and (b) first-tier suppliers: customized products manufacturers (c) second-tier suppliers: raw material suppliers, identified as followers. The feasibility of the proposed model has been provided through its resolution to optimality by an exact method, the decision-making process is focused on the first-tier suppliers’ operations in order to satisfy the customized demands taking into account realistic characteristics of mass customization environment for the internal and external constraints through the supply chain. The illustration of the model is performed with an example from the automotive industry, a sensitivity analysis has been conducted in order to provide the main decision points through key parameters, for instance, the capacities threshold according to a defined demand level and its customized structure which contribute to highlight a constructive managerial insights.

In the pursuit of sustainable development goals, recycling has attracted a high level of attention around the world due to its economic and environmental benefits; however, applying the Conditional Value-at-Risk (CVaR) as an effective risk management approach for optimal Design of reverse supply chain (RSC) has been addressed by a few studies. This study mainly aims to achieve an optimal design for the RSC of recycling of polyethylene terephthalate (PET) bottles due to uncertainties in the market price of recycling materials, logistics costs, and the supply of raw materials. Considering the stochastic nature of the waste RSC parameters, two-stage stochastic programming models are developed in which the CVaR(Shortage) is utilized as a risk criterion to control shortages in demand centers. Moreover, the expected value of profit (E(Profit)) and the CVaR(Profit) are considered as two different objective functions. To evaluate efficiency and applicability, our selected models are implemented with the real data of Tehran’s Municipal Waste data. Comparing the empirical results indicate that using the CVaR(shortage) is an appropriate and reasonable approach to tackle the risk of a shortage in demand centers, and can be used to design the supply chain of other case studies. Also, the CVaR(Profit)) is more conservative in the face of the risk of shortage due to the risk-taking feature embedded in the objective function, which can be adjusted in accordance with the decision maker’s preference. The results additionally indicate that transportation cost plays an essential role in the cost structure of PET recycling stages.

In recent times there is surge in the sustainable supply chain field. The focus of the present work is targeted towards viewing the major aspects of SSCM by focusing towards SSCM through the lens of meta-analysis by performing a structured literature review with the help of the already published articles available on SCOPUS database. A total of 369 articles have been identified from the database over a period of 15 years (2006-2020). The research articles chosen have been categorised and analysed in the viewpoint of journal wise, year wise, application wise, methodology, various barriers and drivers for SSCM. The study has enlightened on the key point of SSCM with the up-to-date developments, trends and the current scenarios. The research has shown that the multi criteria decision making techniques have been employed in abundance in the literature with a fair share of developing countries like India and China contributing into the field of study. This study is advantageous for both researchers and industry personnel for better understandings of SSCM.

Proper storage conditions for pharmaceutical products and paramedical supplies are crucial to maintaining their quality, safety, and efficacy. Poor warehouse management practice may lead to wastage or blockade of financial resources, irrational utilization of drugs, shortage, or overage of essential medicines among many others. The current study aimed to assess the warehouse management practice of private pharmaceutical wholesalers in Gondar, Ethiopia. The study utilized an institution-based cross-sectional study method. The data was collected using a checklist adapted from the Logistics Indicators Assessment Tool (LIAT) developed by the USAID | DELIVER PROJECT and was analyzed using SPSS version 22. Descriptive analysis was conducted and results were presented using tables and figures. A total of five pharmaceutical wholesalers were surveyed. All of the surveyed entities were managing both medicines as well as other medical supplies, and they were supplying their products to both public and private health facilities. The majority of the facilities 4(80%) reported that they were using the Professional Electronic Data System (PEDS) for the management of pharmaceutical products in the warehouse. The overall put away/ storage performance of the facilities was 68.75%, which can be regarded as poor (<80%). All of the facilities lack sufficient product handling equipment for unloading and moving the incoming goods. In conclusion, the overall warehouse management practice at the private pharmaceutical wholesalers was found to be poor. Shortage of product handling equipment and inadequate layout of the warehouses were the two most common problem areas identified that need major improvement.

The complexity of managing the port container terminals brings up many challenges in evaluating the global performance, so managers use the Multiple-criteria decision-making (MCDM) to assess the global performance but most of the methods are based in the experts jugements. In the case where we have a false judgment by experts, the final results will be wrong. This paper aims to develop the performance measurement system in port container terminals in order to assist decision-maker to evaluate the port container terminal. Furthermore, the paper proposes a novel framework which aims to detect and modify jugement in order to reduce inconsistancies. By reducing inconsitency, the performance results and analysis will be more stable and robust. The proposed framework combines two methods, the multiple criteria analysis using MACBETH method (Measuring Attractiveness by a Categorical Based Evaluation Technique) and DELPHI method. In order to give more legitimacy, the model is tested in four ports.

This paper presents a mixed integer non-linear programming (MINLP) model for a bi- objective and multi-depot vehicle routing problem with time windows. The main goals of the paper are minimization of total cost and equitable distribution of commodities between vehicles. Two types of vehicle including delivery and installation vehicles are utilized in the network regarding customers’ needs. Satisfying all demands of the customers is not obligatory and unmet demands are permitted which leads to extra cost. A presented model is applied for real life case study in different provinces of Iran. To tackle the small-size problems, the augmented e-constraint method is utilized by linearization of the model. Because of the NP-hard nature of the problem, as the size of the problem increases, so does the complexity. As such, we develop multi-objective simulated annealing (MOSA meta-heuristic) algorithm for large scale problems. Then, several numerical experiments and sensitivity analyses are conducted to validate the presented model and the solution method, which indicate the efficiency of our proposed approach.