Supply Chain Routing in a Diary Industry Using Heterogeneous Fleet System: Simulation-Based Approach

Ravichandran, Mahadharsan; Naresh, R.; Kandasamy, Jayakrishna

doi:10.1007/s40032-020-00588-1

Cited by 8 publications

(6 citation statements)

References 67 publications

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“…2 The use of blockchain technology can improve food traceability and assist management in tracking down the food supply. 3 The study also provides a theoretical framework for choosing crucial FSC drivers in the Indian environment, assisting investors in comprehending the present and long-term opportunities in a developing country like India. 4 Organic farming is a sustainable future farming.…”

Section: Theoretical and Managerial Implicationsmentioning

confidence: 99%

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Modeling of Critical Food Supply Chain Drivers Using DEMATEL Method and Blockchain Technology

Patidar¹,

Sukhwani²,

Shukla³

2023

J. Inst. Eng. India Ser. C

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The main purpose of this paper is to identify the critical drivers of the food supply chain (FSC) in the Indian context and find cause–effect relationships among the identified drivers using a decision-making trial and evaluation laboratory (DEMATEL)-based method. After a review of the literature and discussion with food chain experts, fourteen drivers have been identified for this study. Critical drivers and their causal relationships are explored through the cause-and-effect diagram. Results of this study show that the drivers namely “Shift towards a sustainable food system in India” (D7), “Social requirements on food security and safety” (D13), and “Growing attention towards food SCM amidst pandemic Covid-19” (D1) are the top three critical and influential drivers. It has been observed that limited research studies are done to identify and analyze the FSC drivers specific in the Indian context. Recent advancements in Blockchain technology have paved the path for improving the performance of the food supply chain with appropriate Blockchain technology intervention. Blockchain technology (BT) can be a new driver in the FSCM. This paper proposes a conceptual framework for the implementation of Blockchain technology in the food supply chain. This paper attempts to draw the attention of policymakers to develop a new sound policy with the help of Blockchain technology to ensure food security.

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Section: Theoretical and Managerial Implicationsmentioning

confidence: 99%

“…Food safety issues involving many countries are becoming more common because of globalization[ 2 ]. Perishable product transportation is the most difficult task in a long supply chain network [ 3 ]. With the expansion of agricultural commerce, the peril of tainted food from one country influencing customers in another has grown.…”

Section: Introductionmentioning

confidence: 99%

Modeling of Critical Food Supply Chain Drivers Using DEMATEL Method and Blockchain Technology

Patidar¹,

Sukhwani²,

Shukla³

2023

J. Inst. Eng. India Ser. C

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“…These plots are subjected to goodness fit tests and a good fit expression for the respective data distribution has been obtained. Goodness fit tests are a type of hypothesis testing and the good fit expression thus obtained is used as the transfer time expression in each route module of the simulation (Ravichandran et al, 2020 ). Additionally, Table 3 summarizes the expression obtained from the Arena analyzer using a series of goodness fit tests on the data distribution of the transfer times for each of the route modules.…”

Section: Model Formulationmentioning

confidence: 99%

Environment and economic analysis of reverse supply chain scenarios for remanufacturing using discrete-event simulation approach

Ravichandran

Vimal

Kumar

et al. 2023

Environ Dev Sustain

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The study covers the concepts involved in reverse supply chain modeling using the case of a manufacturing company. The purpose of this study is to build a sustainable reverse supply chain model for resource conservation through remanufacturing of stator shafts by using a discrete-event simulation approach. The simulation studies in the reverse supply chain have taken up cases of either plastic or electronic waste remanufacturing, while very limited studies deal with simulation of sustainable reverse supply chains using a manufacturing industry case study from international customers. In this study, reverse supply chain using simulation study in manufacturing sector is carried out using Arena Rockwell simulation software. The simulation model is built using discrete-event simulation for returns from customers of two developed countries, i.e., Germany and the USA to Chennai, India. The study emphasizes full container load and less than container load modes of shipment scenarios and multiple return cases. The comparative analysis suggests that the value-added and non-value-added time of the reverse supply chain is slightly greater in the less container load scenario. The wait time per entity in remanufacturing processes similar for both shipment scenarios varies significantly based on return cases. The cost and carbon emission associated with transportation, in the reverse supply chain inclusive of social carbon cost, have also been estimated. Therefore, the study proposes a possible sustainable reverse supply chain framework that could be adopted by different manufacturing industries and yield opportunities for performance improvement.

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“…In others, process flows and decision-making are intertwined into a more complex system that the modeller is forced to compress into a single representational plane. Some models are limited to operational planes [53,54], others to higher level tactical or strategic ones [55,56], though some manage to present two of the three [57,58]. In contrast, modellers using OO-based software can use native class support to represent different instances of decision making and flow at various levels in such a way as to show how they influence each other [59,60].…”

Section: Modelling Effortsmentioning

confidence: 99%

A Framework for Interactive Development of Simulation Models with Strategical–Tactical–Operational Layering Applied to the Logistics of Bulk Commodities

Guiguet¹,

Pons²

2022

Modelling

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CONTEXT–Simulation modelling provides insight into hidden dynamics underlying business processes. However, an accurate understanding of operations is necessary for fidelity of the model. This is challenging because of the need to extract the tacit nature of operational knowledge and facilitate the representation of complex processes and decision-making patterns that do not depend on classes, objects, and instantiations. Commonly used industrial simulation, such as Arena®, does not natively support the object-oriented constructs available for software development. OBJECTIVE–This paper proposes a method for developing simulation models that allow process-owners and modellers to jointly build a series of evolutionary models that improve conceptual validity of the executable computer model. APPROACH-Software and Systems Engineering principles were adapted to develop a framework that allows a systematic transition from conceptual to executable model, which allows multiple perspectives to be simultaneously considered. The framework was applied to a logistics case study in a bulk commodities distribution context. FINDINGS–The method guided the development of a set of models that served as scaffolds to allow the natural flow of ideas from a natural language domain to Arena® code. In doing so, modeller and process-owners at strategic, tactical, and operational levels developed and validated the simulation model. ORIGINALITY—This work provides a framework for structuring the development of simulation models. The framework allows the use of non-object-oriented constructs, making it applicable to SIMAN-based simulation languages and packages as Arena®.

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Supply Chain Routing in a Diary Industry Using Heterogeneous Fleet System: Simulation-Based Approach

Cited by 8 publications

References 67 publications

Modeling of Critical Food Supply Chain Drivers Using DEMATEL Method and Blockchain Technology

Modeling of Critical Food Supply Chain Drivers Using DEMATEL Method and Blockchain Technology

Environment and economic analysis of reverse supply chain scenarios for remanufacturing using discrete-event simulation approach

A Framework for Interactive Development of Simulation Models with Strategical–Tactical–Operational Layering Applied to the Logistics of Bulk Commodities

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