Supply Chain Performance Measurement Research Articles

The resilience of on-time delivery to capacity and material shortages: An empirical investigation in the automotive supply chain

Supply chains around the globe are susceptible to disturbances that negatively impact their performance. Generally, supply chain disturbances lead to failure modes that impact the ability of the supply chain to deliver the promised goods and services on time. Therefore, companies operating in different supply chains are willing to become resilient to disturbances and their ensuing failure modes to be able to deliver on time and remain competitive. In light of this willingness, this study aims to propose an index that enables companies to assess their resilience of on-time delivery to supply chain failure modes based on the resilience practices they deploy. To this end, drawing on the knowledge derived from case study data analysis and literature, eight propositions and an explanatory framework are put forward that theorize the identified relationships between supply chain disturbances, failure modes, resilience practices, and on-time delivery as the primary indicator for measuring supply chain performance. Next, considering the resilience practices companies tend to deploy, an index capable of assessing the companies’ resilience of on-time delivery to two prevalent supply chain failure modes, namely capacity shortage and material shortage is modelled and tested using a case study in an upstream automotive supply chain in Portugal. The results indicate high resilience levels of on-time delivery to the aforementioned failure modes, mainly due to the high cost of production halt in the automotive industry. Additionally, a set of supply chain capabilities and their related resilience practices and supply chain state variables are identified that can be deployed and controlled to improve supply chain resilience.

Supply chain performance measurement on small medium enterprise garment industry: application of supply chain operation reference

In 2020, the textile industry contributed nearly 7% of Indonesia's gross domestic product. The garment industry is still dominated by small and medium enterprises (SMEs) among the textile products. Although these SMEs are considered one of the economic pillars in Indonesia, many challenges require strategical scale-up to improve their competitiveness. One of the aspects to be improved is supply chain performance, as the supply chain controls material, information, and financial flow from both supply and demand sides. This study seeks to measure and evaluate supply chain performance in the garment industry, focusing the case on small and medium-scale enterprises. The Supply Chain Operation Reference (SCOR) is used for Key Performance Index (KPI) determinants. Performance measurement starts by determining the criteria based on the performance measurement literature and expert opinion. Then, the weight of each criterion on the performance score is determined using the Analytical Hierarchy Process (AHP). Paired comparison questionnaires for the criteria weighting were distributed to experts, and the answers were analyzed. The final performance value is obtained by multiplying the weight with the normalized performance value using the Snorm-De Boer formula. This study obtained 23 indicators from five processes: plan, make, source, deliver, and return, with the final value of SCM performance classified as good. The result can evaluate the company's current condition and propose a strategy to improve its performance.

Impact of big data analytics on supply chain performance: an analysis of influencing factors

This paper aims to understand the impact of big data analytics on the retail supply chain. For doing so, we set our context to select the best big data practices amongst the available alternatives based on retail supply chain performance. We have applied TODIM (an acronym in Portuguese for Interactive Multi-criteria Decision Making) for the selection of the best big data analytics tools among the identified nine practices (data science, neural networks, enterprise resource planning, cloud computing, machine learning, data mining, RFID, Blockchain and IoT and Business intelligence) based on seven supply chain performance criteria (supplier integration, customer integration, cost, capacity utilization, flexibility, demand management, and time and value). One of the intriguing understandings from this paper is that most of the retail firms are in a dilemma between customer loyalty and cost while implementing the big data practices in their organization. This study analyses the dominance of the big data practices at the retail supply chain level. This helps the newly emerging retail firms in evaluating the best big data practice based on the importance and dominance of supply chain performance measures.

Airline catering supply chain performance during pandemic disruption: a Bayesian network modelling approach

PurposeThe supply chain (SC) encompasses all actions related to meeting customer requests and transferring materials upstream to meet those demands. Organisations must operate towards increasing SC efficiency and effectiveness to meet SC objectives. Although most businesses expected the coronavirus disease 2019 (COVID-19) pandemic to severely negatively impact their SCs, they did not know how to model disruptions or their effects on performance in the event of a pandemic, leading to delayed responses, an incomplete understanding of the pandemic's effects and late deployment of recovery measures. Therefore, this study aims to consider the impact of implementing Bayesian network (BN) modelling to measure SC performance in the airline catering context.Design/methodology/approachThis study presents a method for modelling and quantifying SC performance assessment for airline catering. In the COVID-19 context, the researchers proposed a BN model to measure SC performance and risk events and quantify the consequences of pandemic disruptions.FindingsThe study simulates and measures the impact of different triggers on SC performance and business continuity using forward and backward propagation analysis, among other BN features, enabling us to combine various SC perspectives and explicitly account for pandemic scenarios.Originality/valueThis study's findings offer a fresh theoretical perspective on the use of BNs in pandemic SC disruption modelling. The findings can be used as a decision-making tool to predict and better understand how pandemics affect SC performance.

Supply Chain Operational Reference untuk Perancangan Indikator Kinerja Rantai Pasok Farmasi

Warehouses have an important role in the supply chain. The pharmaceutical industry is no exception. Pharmacy Warehouse functions as a place to store drugs and medical devices before being distributed to health facilities such as community health centers, clinics, and hospitals. One of the Pharmacy Warehouse Technical Implementation Units located in Dairi Regency, North Sumatra, has several problems that occur along its supply chain. These problems, among others, are related to time, cost, and the number of products shipped. In addition, there was also an increase in aggregate demand for drugs and medical devices in 2018-2019. This increase in demand reinforces the need for designing pharmaceutical supply chain performance measurements. In designing the supply chain performance measurement, the framework used is the Supply Chain Operational Reference (SCOR) which includes the plan, source, make, delivery, and return processes, which are then translated into a number of criteria based on the attributes of reliability, responsiveness, agility, costs, and assets to a number of Key Performance Indicators (KPI). In weighting KPI, the method used is Analytical Hierarchy Process (AHP). Based on data processing and analysis, a supply chain performance measurement design was obtained with 11 performance indicators. Based on the AHP results, it was found that the highest weight value of 0.750 was obtained on the indicators of accuracy and delivery speed, while the lowest weight value of 0.117 was obtained on the order picking accuracy indicator.

Impact of supply chain performance on organizational performance mediated by customer satisfaction: a study of dairy industry

PurposeThe aim of this study is to empirically test the relationship between supply chain performance and organizational performance mediated by customer satisfaction.Design/methodology/approachRespondents of this study include all the supply chain stakeholders, managers working in the dairy industry, bulk milk chillers/coolers (BMCs), farmer producers, wholesalers, transporters, retailers and consumers. The final sample has 67 firms and their forward and backward linkages, taking the total sample size to 1,139. Mediation analysis was performed using SPSS AMOS v26 to analyze the impact of supply chain performance on organizational performance mediated by customer satisfaction.FindingsThe findings of this study reveal that supply chain performance positively impacts organizational performance, and customer satisfaction partially mediates the relationship between them.Research limitations/implicationsThis study provides an opportunity for future researchers to test this model in different locations and different industries, incorporating other mediating variables, such as risk, coordination, supply chain orientation etc., as antecedents and operational, economic and marketing performance as consequences.Practical implicationsThe study suggests that enhanced organizational performance requires supply chain management to be treated as a strategic function. Managers working at the processing/manufacturing level must focus on improving supply chain performance indicators through collaboration with supply chain stakeholders.Originality/valueThe present study adds to the existing literature by adopting a new supply chain performance measurement approach. The current literature has focused primarily on supply chain practices to study their impact on customer satisfaction and organizational performance. In contrast, the present study demonstrates how improvement in supply chain performance can enhance organizational performance through customer satisfaction.

Supply chain performance measurement through collaborative effectiveness: an Asia–Pacific perspective

PurposeThe main purpose of this research is to investigate the supply chain performance through collaborative effectiveness, from the organisations of Asia–Pacific region perspective, compared with that of global organisations based on collaborative supply chain practices.Design/methodology/approachThe survey research methodology was adopted, involving the collection of survey data from 223 participants across 10 different industries and 6 geographic regions. Data included 103 organisations in the Asia–Pacific region including Australia, India, China, Malaysia, Singapore, Indonesia and Thailand.FindingsFrom a collaborative effectiveness perspective, the supply chain performance of Asia–Pacific organisations is different when compared with that of global organisations. It was also found that global organisations are driven by sales performance, while Asia–Pacific organisations are focussing mainly on the cost in terms of the number of employees, and therefore productivity. The metal industry stands out to be the best performing industry from a collaborative effectiveness perspective in the Asia–Pacific region and globally.Practical implicationsThe research findings can be used as a guide by industry practitioners to develop benchmarks for collaborative supply chain practices by industry and region of operations. This research has been limited to a few industries such as manufacturing, logistics, service and retail industries.Originality/valueThis research generates new knowledge on the relationship between the collaborative effectiveness and supply chain performance, from the perspectives of both Asia–Pacific and global organisations, based on a collaborative effectiveness framework. The study proposes an innovative approach of assessing supply chain performance through collaborative effectiveness from the perspectives of geographical boundaries and industry types.

Analysis of the Economic Sustainability of the Supply Chain Sector by Applying the Altman Z-Score Predictor

This paper fills the gap in the financial perspective of supply chain performance measurement, related to the lack of a bankruptcy probability indicator, and proposes a predictor which is the eighth-model of the Altman Z-Score Logistic Regression. Furthermore, a bankruptcy probability ranking is established for the companies’ supply chains, according to the industry to which they belong. Moreover, the values are set to establish three categories of companies according to predictor. The probability of bankruptcy is analysed and studied for the supply chain of different industries. The building industry is revealed to have the highest probability of bankruptcy.

Role of Information Sharing on Supply Chain Performance – A Context of Developing Country

Purpose – This study aims at finding out how cost, quality, delivery and flexibility as supply chain performance (SCP) measures are affected by information sharing in the context of a developing country Nepal.
 Design/Methodology/Approach – The research was carried out in Nepal with data collected through a survey from 131 supply chain participants that includes suppliers, growers, manufacturers, distributors/dealers, wholesalers, retailers and logistics service providers. Exploratory factor analysis (EFA), confirmatory factor analysis (CFA) and path analysis were performed to assess the fitness of the proposed model and test the hypothesis developed for this study.
 Findings – The findings demonstrated that information sharing plays a key role in enhancing the performance of supply chains (SC). It shows that delivery and flexibility performance are significantly affected by operational as well as strategic information sharing while cost and quality performance are not affected by information sharing.
 Originality/Value – This study adds to the existing knowledge by providing empirical support towards the role of operational and strategic information sharing on cost, quality, delivery and flexibility, especially in the context of a landlocked developing country.
 Research Limitations/Implications – The main limitation is the moderate response rate than desired. While the composition of respondents represented the targeted companies, most of the participants were manufacturers (56%).
 Practical Implications – The results of this study will help supply chain participants in Nepal to have an enhanced insight and awareness towards the importance of information sharing in enhancing their performance.

Integrated Supply Chain Performance Measurement Model for the Manufacturing Industry

This study investigated supply chain performance measurement for the manufacturing industry based on the primary and the secondary data and developed Integrated Supply Chain Performance Measurement (ISCPM) model through the supply chain performance attributes in the outlook of input-process-output considering the BSC and the SCOR model at three decisions levels. In the context of the current market dynamics and uncertainties, companies need to upgrade and prepare for resilient supply chain operations, identify the gaps in new normal especially after the pandemic COVID 19, and way forward to address how companies will be organized to handle the strategic supply chain issues and maneuver promptly to ensure a smooth and flawless operation which is extremely challenging in this unpredictable moment. The integrated model incorporates ten supply chain performance measurement attributes and thirty-six performance measurement indexes as supplier relationship management (SRM), internal supply chain management (ISCM), and customer relationship management (CRM). Finally, the ISCPM model reviews and appraise the operational performance of an organization.

The Structural Equation Model of Causal Factors Affecting on The Customer Satisfaction Level to Transportation Providers of Fruits in Thailand

The Structural Equation Model of Causal Factors Affecting on The Customer Satisfaction Level to Transportation Providers of Fruits in Thailand

Supply chain management evaluation in the oil and industry natural gas using SCOR model

This study aims to evaluate supply chain management on fuel oil to optimize improvement strategies that can be applied to ConocoPhillips companies in Indonesia. Effective and efficient supply chain management is one of the goals to achieve the company's business stability in the fuel oil supply chain. Fuel oil is a very complex basic need for companies in carrying out industrial and transportation activities. The research method is measuring and evaluating company performance through a combination of the Supply Chain Operation Reference (SCOR) model and the Analytic Hierarchy Process. Research respondents through interviews with four informants from the company ConocoPhilips. Based on the SCOR Version 11.0 model, in this study the SCOR measurement is divided into four perspectives, namely Plan, Source, Deliver and Return. Furthermore, through the measurement of Key Performance Indicators, it is classified using five supply chain dimensions, namely reliability, responsiveness, agility, costs, and assets. The research resulted in the final value of supply chain performance of 74,992 which can be categorized as a moderate or intermediate level, this implies that the existence of an assessment system or measurement of supply chain performance on an ongoing basis can be used as a consideration in determining the optimal strategy. Research findings, improvements, and strategies are needed, especially in the perspective of delivering which has the lowest score.

A systematic literature review of supply chain management practices and performance

The study is a systematic literature review of current state of research on the dyadic relationship of supply chain management practices with supply chain performance measures published in empirical research articles in literature. Forty-three empirical research papers published in high quality Scopus and WoS indexed Journals between 2018 and 2022 were selected for this study through systematic approach for categorization and synthesis of findings on the subject. The findings were categorized within the themes of operational, environmental, economic, firm and supply chain performance and evaluated within the structure-conduct-performance paradigm. “Benchmarking an International Journal” is the leading channel for publishing on this topic and partial least square structural equation modeling methods are the most employed statistical technique for analysis of data. Organizational theories like resource based view; institutional theory and stakeholder’s theory are the dominant theoretical perspective adopted by the selected art. Studies are geographically concentrated in South Asia, Europe, USA and some countries of Africa and Middle East. Most studies are focused on manufacturing industries and very few service industries like food or grocery retailers have been researched. Internal and external Specific supply chain (SCM) practices affect different measures of supply chain performance through various pathways. Green supply chain management practices, supply chain quality practices, innovative management, lean management practices and industry 4.0 technologies are gaining prominence while market and financial performance outcomes of SCM practices have not been adequately researched..Conclusions followed by theoretical and practical implications are drawn and future research directions identified.

Global Supply Chain Disruption Management Post Covid 19

This study demonstrates this pandemic as absolute catastrophic, which has distracted the overall supply chain activities, with significant shortcomings for businesses, consumers, and the overall global economy. Though in a regular time, it has been extremely challenging to ensure seamless supply chain operations, and senior management had to struggle to respond to critical uncertainties to protect their employees, safeguard supply security, alleviate the financial collision, tackle reputational risks, and steer the market uncertainty. The life-threatening virus has not only caused disaster in our healthcare system but also has destroyed the global economy. During this global economic turbulence, the world’s economy, including Bangladesh’s economy uncovers itself in an unbearable state, particularly due to slumping apparel exports, declining remittances, increasing job losses, and unpredictable consumer demand. Even before the pandemic, managing seamless supply chain operations were highly challenging and stressful. For many years, multinational corporations pursued to aggressively optimize cost through economies of scale, frequently by relocating production facilities to lower-cost labor regions—opted at the expense of other critical supply chain attributes like flexibility and agility. In the meantime, enterprises and governments have occupied in business continuity and resilient supply chain management planning exercises in recent years, outdated risk management undertakings have largely involved responding to national events relating to a specific geography or sector. The current global disruptions emphasize the importance of a new paradigm to improve supply chain resilience at a significant level. Finally, the study classified ten supply chain performance measurement attributes to diagnose the performance and efficiency of an organization. This study illustrates critical challenges and the urgency of the revalidation to be needed in our strategic framework, thus the study emphasizes the importance of comprehensive performance measurement attributes. This study also demonstrates an Integrated Supply Chain Performance Measurement (ISCPM) model connected to these attributes that can supersede the currently practiced models which are not sufficient to address all the issues in the current context.

Development and proposal of a LARG (lean, agile, resilient, green) performance measurement system for a food supply chain

The study aims to delineate a framework for the measurement and evaluation of supply chain performance in the food sector. The proposed approach grounds on the well-known LARG (lean, agile, resilient, and green) perspectives, for which the relating literature is analysed, and the available metrics are reviewed with a specific focus on the food sector. This allows for the development of an appropriate performance measurement system for the food supply chain.

Constructing Performance Measurement Index for the Manufacturing Industry: An Empirical Study

Studies have been carried out along with literature on supply chain performance, yet manufacturing companies fail to attain a precise performance measurement evaluation due to a lack of an Integrated Supply Chain Performance Measurement (ISCPM) model and knowledge in the manufacturing industry. Though it has been widely accepted and adopted—performance evaluation through the Balanced Scorecard (BSC) and the Supply Chain Operations Reference (SCOR) model, however, it needs to address a holistic approach considering the current complexity and market dynamics changes. This study formulates a conceptual Integrated Supply Chain Performance Measurement (ISCPM) model with thirty-six performance measurement index through ten attributes in the outlook of input-process-output considering the BSC and the SCOR model at three decisions levels with an application of quantitative techniques to bring synergic effect to all stakeholder issues such as supplier relationship management (SRM), internal supply chain management (ISCM), and customer relationship management (CRM). The conceptual model was tested in the manufacturing industry of Bangladesh. Finally, it recommends the urgency for an Integrated Supply Chain Performance Measurement (ISCPM) model which connects all the stakeholders aligning the organizational performance.

Risk Mitigation Strategies in Semi-Organic Rice Supply Chains: Lesson Learned from the Involved Actors

Rice is the main consumption food for Indonesians. The demand for food increased from 114.6 kg per capita in 2016 to 124.89 kg in 2017. However, rice farmers and supply chain actors in rice agribusiness have experienced high challenges, such as production, transportation, price, product quality, and the environment. This research aimed to understand actors involved in the supply chain, their perception of occurring risks, and evaluation and risk mitigation in the supply chain. This was a quantitative descriptive study done purposively in Watugede Village, Singosari Sub-District, Malang Regency. Non-probability sampling was taken to gather primary data. The respondent of this research was 16 involved actors, from on-farm actors to consumers. The data were analyzed using the Fuzzy analytical hierarchy process (FAHP) to provide descriptive risk mitigation strategies. The results show that six involved actors are suppliers, farmers, grinders, traders, and buyers. Each actor faces different risks, and thus, the recommended mitigation strategies are adjusted to their risks. Sharing information, optimizing the level of supply availability, measuring supply chain performance, and building more coordination with the government are the best strategies to mitigate risks.

Improving timeliness in the neglected tropical diseases preventive chemotherapy donation supply chain through information sharing: A retrospective empirical analysis.

Billions of doses of medicines are donated for mass drug administrations in support of the World Health Organization's "Roadmap to Implementation," which aims to control, eliminate, and eradicate Neglected Tropical Diseases (NTDs). The supply chain to deliver these medicines is complex, with fragmented data systems and limited visibility on performance. This study empirically evaluates the impact of an online supply chain performance measurement system, "NTDeliver," providing understanding of the value of information sharing towards the success of global health programs. Retrospective secondary data were extracted from NTDeliver, which included 1,484 shipments for four critical medicines ordered by over 100 countries between February 28, 2006 and December 31, 2018. We applied statistical regression models to analyze the impact on key performance metrics, comparing data before and after the system was implemented. The results suggest information sharing has a positive association with improvement for two key performance indicators: purchase order timeliness (β = 0.941, p = 0.003) and-most importantly-delivery timeliness (β = 0.828, p = 0.027). There is a positive association with improvement for three variables when the data are publicly shared: shipment timeliness (β = 2.57, p = 0.001), arrival timeliness (β = 2.88, p = 0.003), and delivery timeliness (β = 2.82, p = 0.011). Our findings suggest that information sharing between the NTD program partners via the NTDeliver system has a positive association with supply chain performance improvements, especially when data are shared publicly. Given the large volume of medicine and the significant number of people requiring these medicines, information sharing has the potential to provide improvements to global health programs affecting the health of tens to hundreds of millions of people.

Industry 4.0 and Supply Chain Performance in the Oil and Gas Industry

The purpose of this study is to investigate industry 4.0 and supply chain performance. Extant literature was reviewed. Secondary data such as E-books, journal articles projects were used. Exploratory research design was used for the study. Based on the review literature, it was revealed that, integrated supply chain performance measurement system (SCPMS) is paramount for an efficient supply chain management (SCM) at inter-organizational and beyond-the-boundary processes. The recent technological innovations (internet of things (IoTs), big data, and web-based communication systems) revamp the SCPMS through effective data collection, information sharing, and framework integration among the different SC partners across nations. The study recommend for further research on the obstacles facing industry 4.0 and supply chain performance in the oil and gas industries across nations.

Understanding big data-driven supply chain and performance measures for customer satisfaction

PurposeSupply chain analytics with big data capability are now growing to the next frontier in transforming the supply chain. However, very few studies have identified its different dimensions and overall effects on supply chain performance measures and customer satisfaction. The aim of this paper to design the data-driven supply chain model to evaluate the impact on supply chain performance and customer satisfaction.Design/methodology/approachThis research uses the resource-based view, emerging literature on big data, supply chain performance measures and customer satisfaction theory to develop the big data-driven supply chain (BDDSC) model. The model tested using questionnaire data collected from supply chain managers and supply chain analysts. To prove the research model, the study uses the structural equation modeling technique.FindingsThe results of the study identify the supply chain performance measures (integration, innovation, flexibility, efficiency, quality and market performance) and customer satisfaction (cost, flexibility, quality and delivery) positively associated with the BDDSC model.Originality/valueThis paper fills the significant gap in the BDDSC on the different dimensions of supply chain performance measures and their impacts on customer satisfaction.