scholarly journals A TISM and MICMAC analysis of factors during COVID-19 pandemic in Indian Apparel Supply Chain

2022 ◽  
Vol 15 (1) ◽  
pp. 0-0
Keyword(s):  
Supply Chain ◽  
Apparel Industry ◽  
Structural Modelling ◽  
Operational Cost ◽  
Strategy Change ◽  
Hierarchy Model ◽  
Sensitive Factor ◽  
Model Hierarchy ◽  
Order Fulfilment ◽  
Total Interpretive Structural Modelling

The objective of this study is to explore the challenges faced by the Indian apparel supply chain in the wake of COVID-19 to identify the factors that are being affected and build a multilevel hierarchy model to prioritize the factors and understand their inter-relationships. An intensive literature review was conducted and many experts from apparel supply chain were consulted. The study was conducted by the help of a survey sent to these experts from different echelons in the apparel industry. The data was then analysed using Total Interpretive Structural Modelling (TISM). The “Difficulty in export order fulfilment” factor is found to be the most sensitive factor which means that it is present in the TISM model hierarchy in a place that it is affected by most of the factors and in-turn impacts factors like operational cost, change in marketing strategy, change in consumer buying pattern, which impact Profitability and Cut-off in employment. “Cut-off in employment” is found to be most impacted by all other factors in TISM model.

Analysis of supply chain resilience barriers in Indian automotive company using total interpretive structural modelling

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nishtha Agarwal ◽  
Nitin Seth
Keyword(s):  
Supply Chain ◽  
Second Phase ◽  
Structural Modelling ◽  
Content Type ◽  
Supply Chain Resilience ◽  
Interpretive Structural Modelling ◽  
Micmac Analysis ◽  
Root Barrier ◽  
Definition Of ◽  
Total Interpretive Structural Modelling

PurposeThe study tries to identify the barriers influencing supply chain resilience and examine the inter-relationships between them. These relationships are built on the basis of how one barrier drives or is driven by the changes in another barriers.Design/methodology/approachIn the first phase, literature review and with due discussion with experts, the barriers have been identified and shortlisted for an Indian automotive case company. In the second phase, total interpretive structural modelling (TISM) has been applied to examine inter-relationships between the barriers for an Indian automobile case company. Matrice d'impacts croisés multiplication appliquée á un classment (MICMAC) analysis has also been performed to analyse the driving and dependence power of the barriers.FindingsIn total, 11 barriers are identified from the first phase of the study. In the second phase, the TISM digraph is created which qualitatively explains the reason behind how one barrier leads to another. MICMAC analysis classifies these variables in four clusters namely autonomous, linkage, dependent and independent. These clusters characterise the barriers based on their driving and dependent power which helps managers in strategically tackling them while taking understanding from the TISM digraph.Research limitations/implicationsThree research implications can be made from the study. First, a comprehensive definition of supply chain which helps in understanding of resilience based on disruption phases and recovery. Second, 11 barriers are identified which hinder resilience in automotive sector. Their relationships are modelled using TISM which also gives why a particular relationship exists. Last, MICMAC analysis classifies barriers based on how high or low the driving and dependence power exists.Practical implicationsThe study offers significant implications for supply chain managers helping them in building resilience by identifying barriers and reducing their effect. Barriers are identified for case company which might help managers to tackle them during disruptions. The final TISM digraph depicts the “why” between the inter-relationships between the barriers to resilient supply chains. TISM shows that non-commitment of top management is the major root barrier which has been causing the other problems. MICMAC analysis is also performed along with discussion as to how autonomous, linkage, dependent and independent barriers can be tackled to build resilience.Originality/valueTISM is considered as an effective methodology for conceptual framework development as it also explains “why” between the relationships besides explaining the “what” as against ISM. Identification and understanding of barriers and their interrelationship will help supply chain managers to analyse the influence and inter-dependence of barriers on the resilience of the supply chain. Such understanding will help in mitigating/averting these barriers hence improving the resilience capability. It also adds to the knowledge base in the area of supply chain resilience where several authors have pointed the lack of research.

scholarly journals Antecedents and enablers of supply chain reconfigurability and its effect on performance

2021 ◽  
Author(s):  
Slim ZIDI ◽  
Nadia Hamani ◽  
Lyes Kermad
Keyword(s):  
Supply Chain ◽  
Demand Uncertainty ◽  
Structural Model ◽  
New Technologies ◽  
Structural Modelling ◽  
Interpretive Structural Modelling ◽  
Micmac Analysis ◽  
Structure And Functions ◽  
Total Interpretive Structural Modelling

Abstract The reconfiguration of supply chain is becoming a crucial concept used to deal with market disruptions and changes such as COVID 19 pandemic, demand uncertainty, new technologies, etc. It can be defined as the ability of the supply chain to change its structure and functions in order to adapt to new changes. Its assessment requires an understanding of its quantitative factors to provide indicators that are easy to interpret. Effective reconfigurability assessment can be achieved by measuring quantitatively its six characteristics (modularity, integrability, convertibility, diagnosability, scalability and customization). This paper aims at identifying the quantitative factors of each characteristic and their inter-relationships by using Total Interpretive Structural Modelling (TISM). The structural model obtained by TISM is applied to understand the dependency quantitative factors. Based on TISM results, a classification of quantitative factors is determined using « Matrice d'Impacts Croisés, Multiplication Appliquée à un Classement » (MICMAC) analysis. This paper may be helpful to understand the previously mentioned characteristics of reconfigurable supply chain in order to facilitate the measuring and the assessment of reconfigurability.

scholarly journals Flexible procurement systems is key to supply chain sustainability

2016 ◽  
Vol 10 (1) ◽  
Author(s):  
Surajit Bag
Keyword(s):  
Supply Chain ◽  
Raw Materials ◽  
Business Environment ◽  
Iso 14001 ◽  
Environmental Cost ◽  
Environmental Costs ◽  
Structural Modelling ◽  
Interpretive Structural Modelling ◽  
Supplier Integration ◽  
Total Interpretive Structural Modelling

Background: In this dynamic business environment, manufacturers are focusing primarily on delivery performance and competitive pricing to win orders. It is essential that manufacturers adopt flexible procurement systems (FPSs) in such an uncertain environment for business sustainability.Objectives: The purpose of the study is to identify the elements of FPSs and model the interrelationships between elements of FPSs and, finally, to understand how FPSs are linked with supply chain sustainability.Method: Besides providing a brief conceptual review of FPSs, the study largely illustrates the use of an innovative multi-criteria decision-making approach called total interpretive structural modelling (TISM).Results: The total interpretive structural modelling–based model evaluates the causality and illustrates elements with interpretation of relations and suggests that bottom-level elements are vital for sustainability in FPSs and avert risks. Secondly, strategic sourcing is positively influencing supplier integration. Thirdly, supplier integration positively influences supplier responsiveness. Fourthly, skills of flexible procurement workforce positively influence supplier integration. Fifthly, it is found that supplier integration positively influences flexible transportation. The sixth finding suggests that supplier integration positively influences eco-friendly packaging. The seventh finding highlights that supplier integration positively influences ISO 14001 certifications. The eighth finding explains that supplier responsiveness positively influences customer satisfaction. It is also observed that flexible transport reduces operational cost and environmental costs. The second last finding explains eco-friendly packaging and reduction in environmental cost by careful selection of packing material and chemicals. Lastly, it is found that ISO 14001/environmental certifications reduce environmental costs by greening suppliers and pressurises them to follow environmental norms. This helps in reducing wastage and developing alternate raw materials, which are eco-friendly in nature. Environmental certifications of suppliers help in improving the image of the buyer firm in the business environment and attract more customers.Conclusion: It is found that FPSs have a positive relationship with supply chain sustainability. In the end, the author highlights implications for supply chain practitioners and researchers.Keywords: Flexible Procurement; Sustainability; Supply chain network; TISM

scholarly journals A Techno-Economic Evaluation of Municipal Solid Waste (MSW) Conversion to Energy in Indonesia

2021 ◽  
Vol 13 (13) ◽  
pp. 7232
Author(s):  
Muhammad Mufti Azis ◽  
Jonas Kristanto ◽  
Chandra Wahyu Purnomo
Keyword(s):  
Economic Evaluation ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Energy Recovery ◽  
Capital Investment ◽  
Electricity Price ◽  
Waste To Energy ◽  
Operational Cost ◽  
Internal Rate Of Return ◽  
Sensitive Factor

Municipal solid waste (MSW) processing is still problematic in Indonesia. From the hierarchy of waste management, it is clear that energy recovery from waste could be an option after prevention and the 5R (rethink, refuse, reduce, reuse, recycle) processes. The Presidential Regulation No 35/2018 mandated the acceleration of waste-to-energy (WtE) plant adoption in Indonesia. The present study aimed to demonstrate a techno-economic evaluation of a commercial WtE plant in Indonesia by processing 1000 tons of waste/day to produce ca. 19.7 MW of electricity. The WtE electricity price is set at USD 13.35 cent/kWh, which is already higher than the average household price at USD 9.76 cent/kWh. The capital investment is estimated at USD 102.2 million. The annual operational cost is estimated at USD 12.1 million and the annual revenue at USD 41.6 million. At this value, the internal rate of return (IRR) for the WtE plant is 25.32% with a payout time (PoT) of 3.47 years. In addition, this study also takes into account electricity price sales, tipping fee, and pretreatment cost of waste. The result of a sensitivity analysis showed that the electricity price was the most sensitive factor. This study reveals that it is important to maintain a regulated electricity price to ensure the sustainability of the WtE plant in Indonesia.

scholarly journals Customer Behavior on Purchasing Channels of Sustainable Customized Garment With Perceived Value and Product Involvement

2020 ◽  
Vol 11 ◽  
Author(s):  
Zhenfang Li ◽  
Jia Yuan ◽  
Bisheng Du ◽  
Junhao Hu ◽  
Wenwen Yuan ◽  
...  
Keyword(s):  
Supply Chain ◽  
Perceived Risk ◽  
Perceived Value ◽  
Apparel Industry ◽  
Value Theory ◽  
Purchasing Decisions ◽  
Product Involvement ◽  
Perceived Values ◽  
Textile And Apparel ◽  
Textile And Apparel Industry

Online shopping for customized garments has become the fastest-growing field of the Chinese eBusiness market. Most consumers not only limit themselves to buying standardized garments but also want to buy garments customized to their preferences. This phenomenon has pushed the fashion textile and apparel industry to change its supply chain operations to meet the customization demand. Besides, the fashion textile and apparel industry also want to study how different channel factors will affect consumers' perceived value and further influence consumers' purchasing decisions. We initiated this study and empirically tested more than 200 experienced consumers. This study collaborated with a fashion textile and apparel company that aims to implement customized product lines soon. Based on the perceived value theory and risk management theory, we investigated whether product involvement and channel identification on supply chain design will affects potential customized product consumers' purchasing decisions. The findings reveal that channel recognition affects consumer decisions by having a positive impact on their perceived value. The perceived risk and shopping channel involvement of consumers have a negative impact on their perceived values and channel selections. In addition, product involvement has a moderating effect on the relationship between channel's perceived risk, perceived values, and channel selections as well.

Measuring performance of government-supported drug warehouses using DEA to improve quality of drug distribution

2020 ◽  
Vol 17 (4) ◽  
pp. 567-581
Author(s):  
Anuj Dixit ◽  
Srikanta Routroy ◽  
Sunil Kumar Dubey
Keyword(s):  
Supply Chain ◽  
Storage Capacity ◽  
Generic Drugs ◽  
Drug Distribution ◽  
Operational Cost ◽  
Fill Rate ◽  
Time Efficiency ◽  
Productivity Level ◽  
Content Type ◽  
Temperature Controlled

PurposeDrug warehouses (DWs) play a crucial role in drug distribution of government-supported healthcare supply chain as it controls both the cost and responsiveness of the logistics activities. The current study proposes a methodology using data envelopment analysis (DEA) to estimate the performance along different dimensions and was applied to 30 government-supported DWs.Design/methodology/approachThis study employs DEA to evaluate the performance and relative technical efficiency of DWs. In this research, four inputs and six outputs are identified based on intensive literature review and discussion with all stakeholders of DWs. The inputs are warehouse storage capacity, temperature-controlled storage capacity, number of skilled employees and operational cost, while the outputs are fill rate, number of generic drugs, volume of drugs, consumption points, inventory turns ratio and time efficiency.FindingsResults show that 30% DWs operate at the most productive scale size with 100% efficiency level while 47% DWs have a significant possibility for further enhancement in productive efficiency and 23% DWs should diminish their operational size to increase their productivity level. It was also found that achieving 100% operational productivity along warehouse space capacity needs significant effort, whereas other three inputs, namely temperature-controlled capacity, number of skilled employees and operational cost, require comparatively less effort. Similarly, it was observed that the performance along the fill rate and time efficiency is satisfactory, whereas the performance along other fours output variables (i.e. number of generic drugs, volume of drugs, consumption points and inventory turns ratio) needs to be improved.Practical implicationsThe findings offer insights on the inputs and outputs that significantly contribute to efficiencies so that inefficient DWs can focus on these factors.Originality/valueAlthough many issues related to DEA have been widely researched and reported, but no literature has been found for analysis of DWs in general and government-supported DWs specifically to find out efficiencies for supply chain performance improvement.

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