International Journal of Business Performance and Supply Chain Modelling (11 papers in press)
Green Supply Chain Management: Learning from Indian Chemical Sector
by Tejas R. Shah
Abstract: The purpose of this paper is to understand current and desired status of the environmental responsiveness of supply chains in India. The objective of this study is to explore the framework for GSCM implementation in Indian context. A self-administered questionnaire was developed containing three parts, i.e., GSCM drivers, GSCM practices and GSCM performance. The total sample size was 180 consisting of MSMEs in chemical business. The dimensions for GSCM drivers, practices and performance were explored and their interrelationships were analyzed. It was found that GSMC drivers create significant impact on GSCM practices, which in turn creates significant impact on GSCM performance. Most relevant studies about framework for GSCM implementation has not addressed properly in Indian context. This new framework fills the gap of the absence of strategies for GSCM implementation in India.
Keywords: Green supply chain management; GSCM drivers; GSCM practices; GSCM performance; environmental sustainability; supply chain management; India.
Hybrid SEM-Neural Networks for Predicting Electronics Logistics Information System Adoption in Thailand Healthcare Supply Chain
by Siwaporn Kunnapapdeelert, Krittipat Pitchayadejanant
Abstract: The aim of this work is to examine the adoption of the electronics logistics information system in healthcare industry in Thailand by using Structural Equation Modeling (SEM) approach. Neural network is then employed to test the research model. These approaches are applied to analyze the effect of all independent constructs and behavioral intention to adopt e-logistics information system by healthcare workers. Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) was used to examine electronics logistics information system adoption in the hospitals. CFA was applied to determine how well the measured variables represent the constructs. SEM was then introduced to analyze the relationship among the variables. Lastly, neural network was applied to predict the relative importance of each independent variable. The study from SEM found that seven potential variables of behavioral intention from UTAUT2 for the adoption of e-logistics can be compressed into six variables. Three significant variables for the e-logistics in hospital adoption which are performance expectancy, effort expectancy, and habit are proven to be statistically significant. The results were confirmed by backpropagation neural network.
Keywords: Structural Equation Modeling (SEM); Electronics logistics (e-logistics) information system; Neural network; Healthcare.
The Influence of Greening the Suppliers on Environmental and Economic Performance
by Arsalan Najmi, Waqar Ahmed, Syed Aziz Ur Rehman
Abstract: The purpose of this study is to investigate the influence of greening the supplier, green purchasing capabilities and green innovation on firms environmental performance, competitive advantage and economic performance. Data was collected from the respondents who are engaged in procurement related activities in different manufacturing industries whereas the researchers used Partial Least Squares-Structural Equation Modelling (PLS-SEM) for analyzing the hypothesized relationships between the variables. Results has shown that greening the suppliers has positive impact on green innovation and green purchasing capabilities whereas green innovation and green purchasing capabilities have a positive impact on environmental, competitive advantage and financial performance accordingly. Since there are limited number of studies on greening the supplier in Pakistan therefore the findings will equally be helpful for future researchers and managers. In addition of providing the valuable information to sourcing professionals regarding their directions towards green supply chain, the present study recommended manufacturers to provide complete assistance to the suppliers in their green initiatives whereas their early collaboration in product development stages is highly recommended.
Keywords: Greening the supplier; Green purchasing capabilities; Environmental performance; Economic Performance; Competitive advantage; Green Innovation; Pakistan.
Production and distribution scheduling optimization in a three-stage integrated Supply Chain using Genetic Algorithm
by Reza Ehtesham Rasi, Mahshid Jeihouni
Abstract: The present study was conducted to examine the scheduling problem in the 3-stage supply chain. The purpose of this research is to minimize the orders delay, considering constraints for assigning orders to suppliers, determining the production sequences in suppliers, assigning orders to vehicles, and determining the orders shipping priority. The mathematical model was proposed as a mixed integer programming and solved by CPLEX software in some small-scale problems to validate the model. Given the complexity of the solution and Hard-NP structure of the proposed problem, the genetic algorithm and MATLAB software were used to find quality solutions in the production and distribution optimization problem, because of the efficiency and flexibility of this method. The solutions were also compared with the random search algorithm in order to examine the quality of the genetic algorithm solution. The efficiency of the proposed algorithm in solving real problems was also analyzed through the data collected from Sepanta pipe plant. According to the results, the proposed algorithm has a desired level of quality in solving the production and distribution real problems.
Keywords: scheduling; Supply Chain; Genetic Algorithm; optimization; transportation.
A single manufacturer multiple buyers integrated production-inventory model with third-party logistics
by Susheel Yadav, Anil K. Agrawal, Manu K. Vora
Abstract: This paper analyses a single manufacturer and multiple buyers supply chain where each buyer faces a price-sensitive demand. The manufacturer produces the item at a finite rate and ships to the buyers in multiple shipments of equal sized sub-batches. These shipments are made using third-party logistics support. The transportation cost is assumed to depend upon vehicle type and on the buyer to which shipment is made. The problem of determining right inventory policies to maximize the overall supply chain profit is formulated as a mixed-integer nonlinear programming (MINLP) model and a meta-heuristic based on Particle Swarm Optimization (PSO) is also proposed. The sensitivity analyses carried out shows the impact of the change in vehicle capacities, setup cost, unit cost, production rate and holding rate of the manufacturer on inventory policy and its related costs. The sensitivity analysis will provide a practical guide to the managers in reacting to a certain change in some parameter values, such as in the eventuality of increase in the setup cost for taking production of a larger lot size in one setup and supply the same to the buyers in more number of sub-batches without changing the sub-batch size.
Keywords: single manufacturer multiple buyers; integrated production-inventory; third-party logistics; joint economic lot size; Particle Swarm Optimization.
Sentiment Analysis of Behavioral Attributes for Effective Supply Chain Management Relationships: A Fuzzy Goal-Setting Approach
by Margaret F. Shipley, Ray Q. Cao, Rob Austin McKee
Abstract: Sentiments expressed through social media can reflect behavioral attributes of trust, commitment, collaboration, and information sharing between or among actors in supply chain management (SCM) relationships. These four attributes are generally considered to enhance SCM performance if each is at a high level. In this study, sentiment mining was undertaken using three different web crawler algorithms focusing on blog, forum, and Twitter sources. After classifying the mined sentiment data, scores were evaluated using a fuzzy model to address uncertainty and ambiguity. The least degree of fit of each attribute and combination of attributes was determined by industry for pharmaceuticals, software, retailing, and healthcare. Results indicate that the importance attributed to levels of interactions for the behavioral attributes necessitated in SCM relationships differs for the industries studied. However, overall, the most consequential attribute seems to be trust between the individuals involved. This work contributes to SCM research through the utilization of techniques to focus on human attributes for decision making that may improve SCM performance; specifically for the industries studied.
Keywords: sentiment analysis; supply chain management; SCM; fuzzy logic; social capital; social media; trust; information sharing; collaboration; commitment.
A Framework to Enhance the Procurement Processes Based on Hybrid Approach of FMEA-DEA
by Mohammad Javad Ershadi, Elahe Atashak Maman, Elnaz Atashak Maman
Abstract: Organizational processes are the most important dimensions in the development and growth of organizations. Identifying effective factors in decreasing the efficiency of processes can provide great help to enhance the organization. In the present study, the re-engineering of procurement processes, as a crucial process in any organization, is investigated based on the FMEA-DEA hybrid approach. Using the Business Process Reengineering (BPR) method and holding many meetings with the industry elites, the prime challenges of procurement processes are detected. The FMEA method is implemented to assess these challenges and the DEA method is also utilized to prioritize them. In addition, the sub-processes of procurement process with higher levels of priority are then selected and the feasibility of using information technology in these sub-processes for tackling the identified problems is investigated. This study is conducted using a descriptive survey method in which the information is collected through completing questionnaires by a statistical population of 25 people of organization elites participating in the system of procurement processes. Inappropriate purchase plans, fluctuation of prices for supplied materials and prolongation of the purchase procedure are the main ranked challenges based on the proposed model. Finally, providing a suitable purchase plan, implementing a cost management system, and enhancement of documentation system are the main suggested actions to be executed for improving the procurement process.
Keywords: Business Process Reengineering (BPR); Failure Mode and Effect Analysis (FMEA); Data Envelopment Analysis (DEA); Procurement Process; Process Management.
Determinants of Sourcing Decision of Supply Chain: An Application in Iranian SMES
by Younos Vakil Alroaia, Mohammad Reza Sotoudeh
Abstract: Outsourcing is one of the most popular business strategies in the globalization era. Outsourcing can bring considerable benefits to organizations. However, if outsourcing decisions are not wisely made and the factors influencing the decision on outsourcing are not carefully considered, this could incur irreparable damage to organization. This study seeks to identify and rank the factors affecting the outsourcing from the strategic perspective in the supply chain of small and medium manufacturing enterprises. In this study, after determining the factors influencing the strategic outsourcing decisions based on the literature, seven major factors were evaluated. In this approach, the estimation of the parameters using factor analysis was conducted to determine the most important sub-indices. Then, due to the multidimensional nature of the factors, the Analytic Hierarchy Process technique was used for the weighting of the factors and the fuzzy additive ratio assessment technique was used for ranking the sub-criteria influencing the decisions of strategic outsourcing. The results showed that the quality is the most important factor and the management agent has the least importance.
Keywords: Strategic outsourcing; Supply chain; Factor analysis; Hierarchical analysis; Fuzzy additive ratio assessment technique.;.
Design and optimization of a soybean supply chain network under uncertainty
by Sogand Shekarian, Saman Hassanzadeh Amin, Bharat Shah, Babak Mohamadpour Tosarkani
Abstract: Demands of foods have been increased in recent years for human and animal nutrition. Food supply chain management has been required to administer series of products and services in efficient ways for agriculture and food production to achieve customer satisfaction at the lowest cost. Agricultural systems have been changed during recent years, and have caused improvements in consumption and production patterns. However, there is not much research on supply chains of seeds (e.g., soybean) which have been produced in Canada. In this research, we propose a new mixed-integer linear optimization formulation for a soybean supply chain network including multiple growers, farm facilities, distributors, and customers. The profit is maximized in the objective function. The application of the proposed formulation is discussed in Ontario in Canada using Google Maps. The mathematical model is developed by a unique possibilistic approach to include uncertain parameters. It is noticeable that uncertainty has been ignored in several papers in the food supply chain literature. Then, the proposed model is extended to a bi-objective model for the purpose of considering the organic practices (e.g., organic farming). The results of this research are discussed and analyzed for the soybean supply chain network.
Keywords: Food logistics; Food supply chain; Soybean; Uncertainty; Supply chain management.
Assessment of critical drivers towards sustainable green supply chain performance management
by Vijay Lahri
Abstract: At present, manufacturers are highly focusing on implementing green practices across supply chains due to immense pressure from the government as well as environmental agencies. However, the effective implementation of green practices is not an easy task. Therefore, the present paper aimed to study and analyze a range of critical metrics of green supply chain practices and performance management concerning manufacturing industries in the Indian context. This study scrutinizes a range of metrics and sub-elements through a brief review of peer-reviewed journals and interviews with experienced professionals of selected industrial and academic bodies. A total of 8 metrics and 31 sub-elements were identified, and they compared against three industrial categories, such as private, government, and semi-government firms. Fuzzy Analytical Hierarchy Process is used to analyze and rank the identified critical metrics. The study suggests supply chain managers that the critical drivers need to be reviewed conscientiously for achieving sustainability in green supply chain practices and performance management.
Keywords: Green Supply Chain (GSC); Fuzzy Analytical Hierarchy Process (FAHP); Sustainability; Performance management.
An interaction between Supply Chain Practices and Human Resource Practices, and the Service Supply Chain Performance: A Case of Majan Electricity Company
by Haidar Abbas, Bilal Al Omari, Khadija Al Maktoumi
Abstract: This research paper aims to study the interaction of the standard supply chain practices and human resource practices with the overall supply chain performance. Apart from this, the various performance parameters have also to be prioritized. The researchers have taken the case of Majan Electricity Company (Oman) as a service supply chain catering to the electricity needs of Omani residents and hence, they collected the primary data from its employees. The well-established and validated scales are adapted to suit the context of this study. The questionnaire consisted of three scales is also translated into Arabic, to avoid any language-specific ambiguities. A reasonable number of hypotheses are formulated in line with the study objectives and are tested using suitable statistical tests. The prioritization of various performance parameters is done using the Analytical Hierarchy Process (AHP). The research paper follows a simple sequence of sections and subsections. In the introduction, the researchers tried to describe the supply chain concept specifically in the context of the service sector and mention the recent and relevant developments in this area. The next sections deal with the research methodology, data analysis, and interpretation, conclusions, recommendations, limitations of the study and directions for future research respectively. Besides enriching the body of academic literature, this study is also expected to offer some meaningful insights into the management of the selected company.
Keywords: Supply Chain Practices; Human Resource Practices; Supply Chain Performance; Prioritization of service performance parameters; Service Supply Chain; Analytical Hierarchy Process; Majan Electricity Company.