International Journal of Industrial Engineering and Productional Research
Volume:34 Issue: 3, Sep 2023

Various of studies on firm’s performance have been performed by reserachers involving many variables as antecedents, logistics performance is one of them. Aside from significantly supporting the firm, it also identifies firm’s performance as standard to keep up in  short and long-term competition. There are several types of criteria in logistics performance, however they are all only classified in three dimensions which are efficiency, effectiveness and differentiation. From the literature review, it was suggested that halal certification could affect logistics performance. This article proposes research model that integrates logistics efficiency, logistics effectiveness, logistics differentiation and halal certification as the dimensions of logistics performance. . It is expected to provide theoretical contribution by explaining causal relationship among variables and provide intact knowledge by considering the firm’s performance that is determined by dimensions of logistics performance. Literature review is applied for this research. Based on the result and discussion, it can be concluded that halal certification potentially could become a new dimension for logistics performance in addition to other existing three dimensions, yet it takes empirical research support strengthen this proposed model.

As efficient instruments, there have been increasing studies on contract optimization in the supply chain field over the recent two decades. The lack of review papers is one of the gaps in contract optimization studies. Hence, the extant study aimed to provide researchers with an attitude to direct future studies on this topic. Therefore, the collected studies on contract optimization were reviewed and analyzed primarily. Then papers were classified based on the selected categories and themes. Finally, evaluation and results were presented based on the classified topics. They conducted studies, then achievements and limitations of the literature and future research opportunities were introduced to pave the way for researchers’ further studies.

In this paper, a brief review of the recently developed blood supply chain (BSC) management studies is firstly presented. Then, a first-ever multi-objective robust BSC model is proposed, which is inspired by the need for an integrated approach towards improving the performance of BSC networks under uncertain conditions. The network efficiency by minimizing cost, adequacy by providing reliable and sufficient blood supply, and effectiveness by controlling blood freshness are aimed at the proposed model. A two-phase approach based on robust programming and an augmented epsilon-constraint method is devised to model the uncertainty in parameters and provides a single-objective counterpart of the original multi-objective robust model. We investigate a case to illustrate the real-world applicability of the problem. The research comes to an end by performing some sensitivity analyses on critical parameters, and the results imply the capability of the model and its solution technique.

Today, the use of electrical energy storage has a significant role in flatting the load curve, peak shaving, increasing reliability and also increasing the penetration of distributed generation, reducing carbon emissions, and reducing network losses. In this article, a three-echelon power supply chain is investigated considering energy storage as a new level in the power supply chain. The model in this article is an integrated model of locating and capacity planning of distributed energy storage with the aim of maximizing profit and reliability, which is modeled with two different approaches. The first model is modeled from the point of view of the distribution network as the owner of the energy storage and the second model is modeled from the perspective of the electricity subscribers as the owner of the energy storage. Finally, the model is solved by GAMS software and the results of sensitivity analysis are presented. According to the obtained results, the presented model is the most sensitive to the changes in demand and production, and the owners of energy storage should be sensitive to the changes in production and demand in different seasons of the year in order to get the maximum profit.

One of the most key parts of a health system is the blood supply chain whose design is challenging due to the perishability of blood. In this research, an optimization model for multi-product blood supply chain network design is presented by considering blood deterioration. We consider a four-echelon blood supply chain that consists of blood donation centers, blood processing centers, blood products storage centers and hospitals as the user of the blood products. The locations of blood processing centers and blood products storage centers should be determined. Furthermore, considering different levels of technologies for blood processing, the suitable level for each opened center should be determined. In addition, different types of vehicle are also considered for blood transfer between different levels of the network. The objective is minimizing the total logistical costs including the costs of opening and running the blood processing centers and blood product storage centers and blood products transfer costs between different levels of the supply chain. Finally, we apply the given model to a real case study in Iranian blood supply chain, and sensitivity analysis is performed on some parameters. In the end, some managerial insights are given

This article develops an integrated model of transmitting strategies and operational activities to enhance the efficiency of supply chain management. As the second objective, this paper aims to improve supply chain performance management (SCPM) by employing proper decision-making approaches. The proposed model optimizes the performance indicator based on SCOR metrics. A process-based method is utilized for high-level decisions, while a mathematical programming method is proposed for low-level decisions. The suggested operational model takes some major supply chain properties such as multiple suppliers, multiple plants, multiple materials, and multiple produced items over several time periods into account. To solve the operational multi-objective optimization model, a goal programming approach is applied. The computational results are explained in terms of a numerical example, and a sensitivity analysis is performed to investigate how the performance of the supply chain is influenced by strategic scenario planning.

A coalition loyalty program (CLP) is a business strategy adopted by companies to increase and retain their customers. An operational challenge in this regard is to determine the coordination mechanism with business partners. This study investigated the role of revenue-sharing contracts (RSCs) considering customer satisfaction in coalition loyalty reward supply chain planning. A two-stage stochastic programming approach was considered for the solution considering the demand uncertainty. We aimed to investigate the impact of RSCs on the decision-making and profitability of the host firm of this supply chain taking into account the maximization of the profit coming from the CLP compared to the more common wholesale price contract (WPC). After the model was solved, computational experiments were performed to evaluate and compare the effects of RSCs and WPCs on the performance of the loyalty program (LP). The results revealed that RSC is an effective incentive to increase the host’s profit and reduce its cost. These findings add new insights to the management literature, which can be used by business decision makers.

This study aims to examine the impact of institutional pressures, green procurement (GP), and reverse logistics (RL) on Environmental performances (EVP). The  study also examined  the mediating influences of GP and RL on EVP. The data is  analyzed using SPSS version 26 and Smart PLS 4. Findings from a survey of 165 industrial parks firms human resource , supply chain and others managers suggest that RL and institutional pressure had a favorable and significant effect on EVP.  In addition, institutional pressures have a significant effect on GP and RL. Finally, RL mediate the relationship between institutional pressure and EVP. The work is unique and provides significant contributions because of how the institutional pressure - GP-RL-EVP model was developed and validated. The government, customers, and other institutions should apply pressure,  the government should offer subsidies and developing green team  help firms to advance  environmental perfomamces.

Not much attention is given to the financial performance of non-oil firms in oil producing economies as the focus would be on firms operating in the country’s major industry. However, fluctuating oil prices have made their importance to the economy more evident as oil producers start to diversify and move away from reliance on oil as a major source of revenue. Fluctuating oil prices cause enormous pressure on oil corporations’ bottom line, the expansion of non-oil enterprises has. The non-oil sector's profitability strategy is a major challenge for non-oil enterprises looking to contribute to the economy. The study's objective in the context of non-oil firm profitability is to analyse research conducted over the previous two decades to understand the future orientation of non-oil firms in oil-producing nations. We utilised the PRISMA statement 2020 and gathered records from Web of Science and Scopus. The final 46 articles were included for the review, and VOS viewer software was used to categorise the results. This is a comprehensive review exploring profitability of non-oil firms from the contexts of firm size, market share, governance structure and capital management. The paper concludes with suggestions for further research on firm profitability in relation to the economy in which it operates.   The study identified three significant streams: firm size, capital management and profitability. However, results indicate that there would be a positive link between business size and profitability. In addition, capital management is a critical component in maximising firm profitability, and the board of directors is a crucial determinant identified in the research.  Finally, results show that the elements determining profitability remain a significant issue for academics.

The supply chain in the food industry is mainly produced from materials that are not environmentally friendly. GSCM is included in developing the SCM concept, which is one of the operational management decisions that affect the company's performance improvement. The purpose of this research is to analyze the factors that influence the implementation of GSCM to improve the performance of the Food Industry. Formulate strategies to enhance the performance of the Food Industry through implementing GSCM. This study targets respondents who work in the Food Industry. Respondents obtained as many as 63—data analysis using the PLS-SEM method. The results showed that GSCM did not affect Company Performance, GSCM had a positive effect on Green Innovation, Green Innovation had a positive impact on Company Performance, and Green Innovation mediated GSCM with Corporate Performance. The implementation of the Green Supply Chain on company performance in the Food Industry not only affects its environmental performance, but also provides better economic performance. Renewable company innovations must accompany the implementation of green supply chains. In the study, it is stated that the Green Supply Chain will have a positive effect if it is mediated by green innovation.

A computational approach is presented to obtain the optimal path of the end-effector for the 10 DOF bipedal robot to increase its load carrying capacity for a given task from point to point. The synthesizing optimal trajectories problem of a robot is formulated as a problem of trajectory optimization. An Iterative Linear Programming method (ILP) is developed for finding a numerical solution for this nonlinear trajectory. This method is used for determining the maximum dynamic load carrying capacity of bipedal robot walking subjected to torque actuators, stability and jerk limits constraints. First, the Lagrangian dynamic equation should be written to be suitable for the load dynamics which together with kinematic equations are substantial for determining the optimal trajectory. After that, a representation of the state space of the dynamic equations is introduced also the linearized dynamic equations are needed to obtain the numerical solution of the trajectory optimization followed by formulation for the optimal trajectory problem with a maximum load. Finally, the method of ILP and the computational aspect is applied to solve the problem of trajectory synthesis and determine the dynamic load carrying capacity (DLCC) to the bipedal robot for each of the linear and circular path. By implementing on an experimental biped robot, the simulation results were validated.

In recent years, research on halal supply chain resilience (HSCRES) has been growing to deal with the vulnerabilities caused by halal risks that disrupt global halal supply chains. However, empirical studies in this field have been hindered by the lack of identifying halal capabilities that represent the strength of HSCRES. This study aimed to determine and prioritize halal resilience capability. In the first step, extant literature is reviewed to identify capability factors in the context of the halal supply chain. In the second step, the fuzzy analytical hierarchy process (FAHP) approach was used to rank the halal capability indicators. The results of this study indicate that halal integrity is the most important capability factor in enhancing a resilient halal supply chain. The results also reveal that mandatory regulation is the most significant indicator in HSCRES, followed by halal teams, official halal logos, internal halal audits, and communication channels. This finding offers stakeholder recommendations on which capabilities should be prioritized to reduce the impact of halal risks that disrupt supply chains’ resilience