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19 pages, 849 KiB

Open AccessArticle

Evaluating Performance Measurement Metrics for Lean and Agile Supply Chain Strategies in Large Enterprises

by Benameur Dahinine, Abderrazak Laghouag, Wassila Bensahel, Majed Alsolamy and Tarek Guendouz

Sustainability 2024, 16(6), 2586; https://doi.org/10.3390/su16062586 - 21 Mar 2024

Cited by 1 | Viewed by 1003

Abstract

Previous research has identified metrics that are applicable to both lean and agile strategies and has hypothesised that financial and efficiency metrics are more relevant to the lean supply chain strategy, while customer service and flexibility metrics are more relevant to the agile [...] Read more.

Previous research has identified metrics that are applicable to both lean and agile strategies and has hypothesised that financial and efficiency metrics are more relevant to the lean supply chain strategy, while customer service and flexibility metrics are more relevant to the agile supply chain strategy. These metrics need to be assessed empirically to confirm their relevance and validate these hypotheses. Drawing upon contingency theory, which mandates that supply chain performance metrics should vary based on the supply chain strategy, the research methodology resulted in developing a survey instrument that has been subsequently tested in 45 large enterprises and analysed by Partial Least Square-Path Modelling using XLSTAT software v.2020.4. The results support the existing beliefs and suggest that financial and efficiency indicator sets are more applicable to the lean supply chain strategy, whereas customer service and flexibility indicator sets are more pertinent to the agile supply chain strategy. This research distinguishes itself, through its novelty, in validating an adaptable framework for supply chain performance metrics, acknowledging the necessity of developing a suitable supply chain performance system. Ultimately, the findings of this research might serve as an initial foundation for practitioners in shaping the design of supply chain performance systems since the strong relationship between SC strategies and specific metrics may serve as a strategic approach to evaluate and improve performance. Full article

(This article belongs to the Special Issue Supply Chain Performance Measurement in Industry 4.0)

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20 pages, 1561 KiB

Open AccessArticle

Sustainable Manufacturing Supply Chain Performance Enhancement through Technology Utilization and Process Innovation in Industry 4.0: A SEM-PLS Approach

by Karishma M. Qureshi, Bhavesh G. Mewada, Sumeet Kaur, Saleh Yahya Alghamdi, Naif Almakayeel, Ali Saeed Almuflih and Mohamed Rafik Noor Mohamed Qureshi

Sustainability 2023, 15(21), 15388; https://doi.org/10.3390/su152115388 - 28 Oct 2023

Viewed by 1430

Abstract

The fourth industrial revolution brought a paradigm shift in the present manufacturing system and its supply chain management (SCM). The evolution of Industry 4.0 (I4.0) brought several disruptive technologies like cloud computing (CC), blockchain, the Internet of Things (IoT), cyber-physical systems (CPS), etc. [...] Read more.

The fourth industrial revolution brought a paradigm shift in the present manufacturing system and its supply chain management (SCM). The evolution of Industry 4.0 (I4.0) brought several disruptive technologies like cloud computing (CC), blockchain, the Internet of Things (IoT), cyber-physical systems (CPS), etc. These disruptive technologies have changed the face of the modern manufacturing system and its manufacturing supply chain (SC). Several changes in manufacturing in terms of lead time, cost reduction, agility, flexibility, and response to market sensitivity are seen in almost all types of manufacturing. I4.0’s disruptive technologies influence lean SC, agile SC, leagile SC, and green SC. The current study examines how I4.0 technologies affect society on such supply chains (SCs), which leads to enhanced performance of the manufacturing SC. The effect of process innovation (PI) resulting from I4.0 innovations is also investigated. SEM-PLS-based modeling is constructed based on 195 responses received from manufacturing enterprises implementing various SC practices in managing their manufacturing SCs. The findings demonstrate a favorable correlation between I4.0 technology and the enhancement of various SCs. The result also revealed that there is a positive impact of I4.0 technologies on PI, which leads to manufacturing SC performance improvements. Full article

(This article belongs to the Special Issue Supply Chain Performance Measurement in Industry 4.0)

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15 pages, 3746 KiB

Open AccessArticle

Impact of Fixed Cost Increase on the Optimization of Two-Stage Sustainable Supply Chain Networks

by Ahmed Mostafa, Kamal Moustafa and Raafat Elshaer

Sustainability 2023, 15(18), 13949; https://doi.org/10.3390/su151813949 - 20 Sep 2023

Viewed by 711

Abstract

Supply chain networks have emerged as the backbone of economic activities in the modern world. Most of the literature on the optimization problem of transportation in supply chain networks (SCNs) considers fixed costs (FCs). Although most researchers have used fixed costs in supply [...] Read more.

Supply chain networks have emerged as the backbone of economic activities in the modern world. Most of the literature on the optimization problem of transportation in supply chain networks (SCNs) considers fixed costs (FCs). Although most researchers have used fixed costs in supply chain design, none have studied their impact on optimal supply chain design. The design of the network can change when we take fixed costs into optimization. However, in the practical application of this problem, it is important to study the effect of FCs. This paper examines the impact of the fixed cost’s increase as well as the variable cost on the optimization of a two-stage SCN. To do so, two mathematical models for mixed-integer nonlinear programming were developed. The first model optimizes fixed and variable costs in addition to the opening cost, whereas the second model only optimizes variable and opening costs. To evaluate the effect of considering the FC on the optimization supply chain problem, four groups of instances were randomly generated and solved using Lingo. The results of the two models are compared using the average percentage deviation. In addition, sensitivity analysis was performed to determine the impact of changes in opening and variable costs on the considered optimization problem. The computational results and the sensitivity analysis show that the first model with minimized FC outperforms the second model, which does not consider the FC in minimization and FC affects the optimization. Full article

(This article belongs to the Special Issue Supply Chain Performance Measurement in Industry 4.0)

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18 pages, 973 KiB

Open AccessArticle

AI Chatbot Adoption in SMEs for Sustainable Manufacturing Supply Chain Performance: A Mediational Research in an Emerging Country

by Rashmi Ranjan Panigrahi, Avinash K. Shrivastava, Karishma M. Qureshi, Bhavesh G. Mewada, Saleh Yahya Alghamdi, Naif Almakayeel, Ali Saeed Almuflih and Mohamed Rafik N. Qureshi

Sustainability 2023, 15(18), 13743; https://doi.org/10.3390/su151813743 - 14 Sep 2023

Cited by 10 | Viewed by 3050

Abstract

AI chatbots (AICs) have the potential to increase the sustainability of a manufacturing supply chain (SC) through sales engagement and customer engagement to accomplish various activities related to logistics and SC in real time. Industry 4.0 (I4.0) has opened up several opportunities with [...] Read more.

AI chatbots (AICs) have the potential to increase the sustainability of a manufacturing supply chain (SC) through sales engagement and customer engagement to accomplish various activities related to logistics and SC in real time. Industry 4.0 (I4.0) has opened up several opportunities with internet-based technologies, along with challenges for small and medium enterprises (SMEs). SMEs are beginning to adopt such technologies for their competitive advantages and the required sustainability in the manufacturing supply chain. AICs may help in accomplishing supply chain visibility (SCV) to enhance sustainable supply chain performance (SSCP). Innovation capability (IC) is also due to disruptive technologies being adopted by SMEs. The present research investigates the role of AICs in SCV and IC, which lead to SSCP, by employing structural equation modeling (SEM). An empirical study based on dynamic capability (DC) theory was carried out using 246 responses, and later Smart PLS-4.0 was used for SEM. The analysis revealed that AICs positively influence SCV and IC to support SSCP. SCV and IC also partially mediate the relationship between the adoption of AICs and SSCP. Full article

(This article belongs to the Special Issue Supply Chain Performance Measurement in Industry 4.0)

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15 pages, 741 KiB

Open AccessArticle

Analyzing Critical Success Factors of Lean 4.0 Implementation in Small and Medium Enterprises for Sustainable Manufacturing Supply Chain for Industry 4.0 Using PLS-SEM

by Karishma M. Qureshi, Bhavesh G. Mewada, Mohanad Kamil Buniya and Mohamed Rafik Noor Mohamed Qureshi

Sustainability 2023, 15(6), 5528; https://doi.org/10.3390/su15065528 - 21 Mar 2023

Cited by 12 | Viewed by 2776

Abstract

Lean 4.0 (L4.0) is a transformed form of traditional lean to suit Industry 4.0’s (I4.0) requirements. The L4.0 has a great deal of potential to match the I4.0’s challenges in terms of speed, dynamics, and efficacy once it has been digitalized. The study [...] Read more.

Lean 4.0 (L4.0) is a transformed form of traditional lean to suit Industry 4.0’s (I4.0) requirements. The L4.0 has a great deal of potential to match the I4.0’s challenges in terms of speed, dynamics, and efficacy once it has been digitalized. The study aims to identify and model the L4.0 CSFs for successful lean implementations in SMEs to suit I4.0 needs. The thorough analysis of the literature led to the identification of the L4.0 CSFs. The expert panel from SMEs was involved in selecting the relevant 22 L4.0 CSFs that suited the needs of manufacturing SMEs. Based on the feedback of the expert panel, a questionnaire survey was carried out. Further, collected responses were analyzed using an exploratory factor analysis (EFA). The EFA results identified four major groups: ‘worker-enabled technologies’, ‘IT-enabled technologies’, ‘management’, and ‘L4.0’ related CSFs. Furthermore, the study uses partial least square structural equation modeling (PLS-SEM) to simulate the L4.0 CSFs and identify the influence of each CSF toward successful lean implementation. The PLS-SEM results confirm that the lean CSFs have positive effects on successful lean implementation. The present research contributes to enhancing the knowledge and L4.0 practices of manufacturing SMEs. The results show that successful implementation will promote ‘productivity improvements (PI)’, ‘waste reduction (WR)’, ‘competitive advantage (CA)’, and ‘sustainable manufacturing system (SMS)’. Full article

(This article belongs to the Special Issue Supply Chain Performance Measurement in Industry 4.0)

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19 pages, 712 KiB

Open AccessArticle

Assessing Lean 4.0 for Industry 4.0 Readiness Using PLS-SEM towards Sustainable Manufacturing Supply Chain

by Karishma M. Qureshi, Bhavesh G. Mewada, Sumeet Kaur and Mohamed Rafik Noor Mohamed Qureshi

Sustainability 2023, 15(5), 3950; https://doi.org/10.3390/su15053950 - 21 Feb 2023

Cited by 14 | Viewed by 2740

Abstract

Lean 4.0 (L4.0) plays a significant role in reducing waste and enhancing productivity for a sustainable manufacturing supply chain in Industry 4.0 (I4.0). L4.0, with its soft and hard practices, may be well integrated into I4.0 to enhance its readiness. Small and medium [...] Read more.

Lean 4.0 (L4.0) plays a significant role in reducing waste and enhancing productivity for a sustainable manufacturing supply chain in Industry 4.0 (I4.0). L4.0, with its soft and hard practices, may be well integrated into I4.0 to enhance its readiness. Small and medium enterprises (SMEs) are attempting to prepare themselves for I4.0 readiness. Hence, the present research explores L4.0 in terms of its soft and hard practices to understand its holistic relationship with I4.0’s readiness for delivering a sustainable manufacturing supply chain. To reap the maximum benefits, several traditional lean thinking practices and lean management principles should be combined with internet-enabled I4.0 technologies. The result of the present empirical analysis revealed that the soft L4.0 practices of top management leadership (TML), customer focus (CF), and employee training and learning (ETL) influence the hard L4.0 practices of total productive maintenance (TPM), statistical process control (SPC), and advanced manufacturing technologies (AMT) to have a positive significant influence on operational readiness (OR) and technological readiness (TR). Full article

(This article belongs to the Special Issue Supply Chain Performance Measurement in Industry 4.0)

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21 pages, 1168 KiB

Open AccessArticle

Evaluating Enterprise Resource Planning (ERP) Implementation for Sustainable Supply Chain Management

by Mohamed Rafik Noor Mohamed Qureshi

Sustainability 2022, 14(22), 14779; https://doi.org/10.3390/su142214779 - 09 Nov 2022

Cited by 6 | Viewed by 4257

Abstract

Enterprise Resource Planning (ERP) plays a vital role in an organization’s growth and sustainability in the supply chain. ERP implementations have a mix of critical success factors (CSFs) that are very important. Hence, it is essential to study the CSFs, their mutual influence [...] Read more.

Enterprise Resource Planning (ERP) plays a vital role in an organization’s growth and sustainability in the supply chain. ERP implementations have a mix of critical success factors (CSFs) that are very important. Hence, it is essential to study the CSFs, their mutual influence and their severity in terms of prioritization for the I4.0. The goal of the current study is to identify CSFs for ERP implementations, as well as their interdependence and ranking. The CSFs of ERP deployment were discovered by a thorough analysis of the literature and subsequent input from a group of subject matter experts. Using the interpretive structural modeling (ISM) method, the shortlisted CSFs were modeled, and after that, the matrice d’ impacts croises multiplication appliqué an classement (MICMAC) analysis was used to classify them. The interpretative ranking technique was used to carry out the subsequent prioritization and ranking (IRP). In the present research, the modeling of CSFs for successful ERP implementations was carried out to accomplish much-needed sustainability in the supply chain. The result revealed the three top-ranked CSFs for successful ERP implementations: “Top management support”, “Change management” and “Business process reengineering.” This research can help practicing managers prepare an ERP implementation plan to accomplish sustainability in SCM. Each CSF’s role can be studied in terms of the mutual relationships for its control. This research can also help in prioritizing strategies for optimizing the resources required for ERP implementations. Full article

(This article belongs to the Special Issue Supply Chain Performance Measurement in Industry 4.0)

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Review

Jump to: Research

21 pages, 3847 KiB

Open AccessReview

A Review of Blood Delivery for Sustainable Supply Chain Management (BSCM)

by Saleh Y. Alghamdi

Sustainability 2023, 15(3), 2757; https://doi.org/10.3390/su15032757 - 02 Feb 2023

Cited by 3 | Viewed by 2806

Abstract

The management and supply of blood are critical yet considered a challenging exercise within the healthcare industry. The inventory managers within the sector concerned with blood storage and transportation always focus on their consumers’ effective and timely responses. A lack of blood during [...] Read more.

The management and supply of blood are critical yet considered a challenging exercise within the healthcare industry. The inventory managers within the sector concerned with blood storage and transportation always focus on their consumers’ effective and timely responses. A lack of blood during emergencies significantly impacts patients’ lives needing a blood transfusion. On the other hand, blood transfusion to needy patients must be effective and timely, requiring adequate transportation and supply chain policies. A weak transportation system could lead to blood shortages, delivery inefficiencies, and even contamination during the process. There are few blood donors globally; therefore, any wastage due to a poor delivery solution is ineffective. The current review aims to offer a comparative study of blood delivery within crowded cities, specifically using cars and motorcycles as the leading delivery solutions. Based on the systematic literature review, the most effective and responsive blood delivery system in a congested city may be identified considering SC costs, time availability, and emergency severity. The present research provides a comparative analysis of the available blood delivery systems in a congested city. It also helps the stakeholders to take quick and responsive decisions quickly. Full article

(This article belongs to the Special Issue Supply Chain Performance Measurement in Industry 4.0)

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