A study of factors affecting supply chain performance

George, Joby; Pillai, V. Madhusudanan

doi:10.1088/1742-6596/1355/1/012018

Cited by 23 publications

(13 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Through the exchange and sharing of information, an organisation can expedite the flow of information in the supply chain. Improved productivity and efficiency is another advantage, since information sharing lessens the ambiguity and therefore minimises the need for security stocks (George & Pillai, 2019).…”

Section: Discussionmentioning

confidence: 99%

Prioritisation of barriers for supply chain management implementation in the Malaysian automotive industry

Anis

Islam

Hafit

2022

Prod.

View full text Add to dashboard Cite

Paper aims: Several Barriers impede the robust effectiveness of the supply-chain management implementation for the Malaysian automotive industry. The purpose of the present work is to identify these Barriers and prioritize them.Originality:Originality of the present work lies in identifying the Barriers, putting them into categories and subsequently prioritize them by applying a scientific method such as Analytic Hierarchy Process (AHP).ResearchResearch method:This study has identified five main categories of Barriers through literature reviews. Fourteen practitioners who are involved with the automotive industry helped prioritise those Barriers by applying the AHP.Main Main findings: Five main categories of Barriers are found to be technological, organisational, individual, strategic, and cultural barriers. Organisational barrier is the most critical barrier followed by technological and strategic barriers. Implications for theory and practice:This research provides important feedback to the automotive company managers to take appropriate measures to minimise negative impacts of the barriers identified.

show abstract

Section: Discussionmentioning

confidence: 99%

Prioritisation of barriers for supply chain management implementation in the Malaysian automotive industry

Anis

Islam

Hafit

2022

Prod.

View full text Add to dashboard Cite

show abstract

“…The SC structures proposed by [13] are extended in this work to include reverse logistics and closed-loop approaches because both correspond to 30% of the reviewed articles. These structures include product returns, which imply reusing, repairing, reconditioning, remanufacturing, and recycling materials, an efficacious reverse logistics network design that offers not only environmental benefits but also economic benefits in terms of reduced raw material acquisition, inventory management, and waste disposal [14].…”

Section: Literature Reviewmentioning

confidence: 99%

Sustainable Inventory Management in Supply Chains: Trends and Further Research

Becerra

Sanchís

2022

Sustainability

View full text Add to dashboard Cite

This article presents an overview of the models applied to sustainable inventory management in supply chains and a roadmap for new research. It aims to address the lack of understanding of how sustainability is being incorporated into quantitative inventory management models in the supply chain context. The study is based on a classification of the reviewed literature according to the following criteria: supply chain structure, environmental approach, problem type, modeling, and solution approach. As a result, 36 articles were analyzed and classified. The main findings show that studies that incorporate social sustainability into inventory management along supply chains are lacking, while environmental studies are a growing research area. Uncertainty issues also need to be incorporated into sustainable inventory management models. Another important result of this study is the definition of a roadmap with trends and future research guidelines. The identified future research guidelines include incorporating decisions that can help to improve economic, environmental, and social sustainability. Thus, future studies should focus on both following quantitative models that incorporate inventory decisions integrally with transportation and location decisions, and more complex models, and employing new algorithms and heuristics to solve them.

show abstract

“…Further, IS enables businesses to swiftly procure customized items and understand customers' changing tastes and preferences (George and Madhusudanan Pillai, 2019). Moreover, adequate information flow in the supply chain results in product enhancement, reduced customer response times, and cost savings or efficiency (Paulraj and Chen, 2007).A few IS dimensions are discussed below.…”

Section: Information Sharing Related Factorsmentioning

confidence: 99%

“…An accurate forecast is a first and most crucial step in successfully managing a SC (Singh, 2014). Thus, a good forecasting approach reduces the variance between actual and predicted demand (Joel D. et al, 2012).Furthermore, forecast accuracy significantly impacts SC performance, such as inventory cost, backorder cost, lost sales, and customer goodwill (George and Madhusudanan Pillai, 2019).Therefore, forecasting is a vital aspect in determining the overall success of the SC (Zhao &Xie, 2002 andTraperoet al, 2011). Moreover, forecasting demand accurately leads to fewer inventories, fewer stock-outs, better production schedules, cost savings, and more excellent customer service (Joel D. et al, 2012).On the other hand, forecasting errors are connected with high supply chain costs, such as missed sales, unneeded safety stock, dissatisfied customers, and loss of goodwill (Donald J. et al, 2002).…”

Section: Demand Forecasting Accuracy-related Factorsmentioning

confidence: 99%

Factors Affecting Road Construction Heavy Machinery Spare Part Supply Chain Performance: An Ethiopian Case

Tesfai¹,

Temesgen²

2021

ijird

View full text Add to dashboard Cite

Road construction, which requires heavy equipment, is one of the developing countries' leading priorities, including Ethiopia. In Ethiopia's case, this sector consumes the most prominent national budget, though challenged due to a shortage of spare parts that allow the deployed machines to work efficiently. Therefore, this study aims to assess the Factors Affecting Road Construction Heavy-Machinery SPSC performance: An Ethiopian Case. Based on the literature reviewed, the study has identified four factors that affect performance (responsiveness and efficiency): inventory level, information sharing, demand forecasting accuracy, and product pricing. A descriptive and explanatory research design was used in the study. Both quantitative and qualitative data were used in this research. For quantitative data, structured questionnaires were used. Besides, focused group discussions were conducted to collect more qualitative information. Out of 100 employees of the study organization, a sample size of 63 was taken using a stratified sampling technique. The response rate was 100%. The Data were analyzed using mean, standard deviation, percentages, correlation, and regression analysis with the help of SPSS version 26 software. The study results indicated that the inventory level, information sharing, demand forecasting accuracy, and product pricing collectively impact the SPSC performance significantly. These factors collectively explain 43.6% of the SPSC performance, while the rest, 56.4%, is explained by other factors which are not subject to this study, such as transportation-related and other variables mentioned in the qualitative findings. Further, the study revealed that, among the predictors (independent variables), information sharing-related characteristics have more remarkable predictive ability for SPSC performance (responsiveness and efficiency). In contrast, the other variables relating to inventory level, demand forecasting accuracy, and product price has no impact on predicting SPSC performance (responsiveness and efficiency), as far as the other variable information sharing-related factors exist. Moreover, the study recommends enhancing the quality of information sharing across SC members by employing the latest IT facilities that can enhance information sharing benefits the SPSC actors in Ethiopia. .

show abstract

A study of factors affecting supply chain performance

Cited by 23 publications

References 44 publications

Prioritisation of barriers for supply chain management implementation in the Malaysian automotive industry

Prioritisation of barriers for supply chain management implementation in the Malaysian automotive industry

Sustainable Inventory Management in Supply Chains: Trends and Further Research

Factors Affecting Road Construction Heavy Machinery Spare Part Supply Chain Performance: An Ethiopian Case

Contact Info

Product

Resources

About