A sustainable production-inventory model with imperfect quality under preservation technology and quality improvement investment

Sepehri, Arash; Mishra, Umakant; Sarkar, Biswajit

doi:10.1016/j.jclepro.2021.127332

Cited by 122 publications

(33 citation statements)

References 28 publications

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“…When comparing this framework to other methodologies for decision-making processes in the industrial sector [47,48], it was clear from the theoretical and methodological point of view that their mathematical models, which present a single value solution to assess profit or SDG achievement level, can be complemented with our theoretical-empirical model, which is more compatible with the semi-informal nature of some systems, such as the fuelwood, and charcoal case studies. For example, decision-makers in the agri-food industry [47] may consider using their waste as an energy input in their process, after analyzing the sustainability trade-offs using this new framework.…”

Section: Managerial Insights Of the Framework Resultsmentioning

confidence: 99%

A Methodological Framework for Assessing the Sustainability of Solid Biofuels Systems

et al. 2022

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This paper introduces a methodological framework for assessing the sustainability of solid biofuels in Mexico. The designed framework comprises 13 normalized indicators and two diagnostic studies, covering the economic, social, environmental, and institutional sustainability dimensions, and their intersections. Indicators are normalized using the concept of load capacity of a system, similarly to the planetary boundaries. Thus, the graphical representation of results facilitates their multidimensional analysis. The framework was applied to three case studies: traditional fuelwood in rural households, charcoal for restaurant grilling, and electricity cogeneration from sugarcane bagasse. This was part of an iterative process of testing and refining the framework and simultaneously demonstrating its application in the Mexican bioenergy context. This led to the conclusion that the resulting framework (a) provides a useful, quantitative, and comprehensive overview of both broad and specific sustainability aspects of the assessed system; (b) requires a balance of accessible but also scattered or sensitive data, similarly to most existing frameworks; (c) is highly flexible and applicable to both modern and traditional solid biofuels; and (d) is simple to communicate and interpret for a wide audience. Key directions for improvement of the framework are also discussed.

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Section: Managerial Insights Of the Framework Resultsmentioning

confidence: 99%

A Methodological Framework for Assessing the Sustainability of Solid Biofuels Systems

et al. 2022

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“…The SLR is carried out by (1) defining appropriate keywords for searching, (2) identifying relevant papers, and (3) analyzing the extracted papers. A large number of papers have worked on the topic of procurement and I4.0 technologies separately [16][17][18][19][20][21], however, 70 papers mainly concentrate on the contribution of both subjects simultaneously which are selected from Scholar, Scopus, and Web of Science databases. Selected papers are mainly from renowned publications such as Elsevier, Springer, Taylor and Francis, Emerald, etc.…”

Section: Systematic Literature Reviewmentioning

confidence: 99%

“…A very well-crafted literature review article has the potential to serve as a platform for future research because such an article explicitly synthesizes current knowledge, identifies research gaps, and suggests exciting new directions for future research in a given field of research, regarding Methodology, Constructs/Variables, Theory, and Contexts. I4.0 technologies separately [16][17][18][19][20][21], however, 70 papers mainly concentrate on the contribution of both subjects simultaneously which are selected from Scholar, Scopus, and Web of Science databases. Selected papers are mainly from renowned publications such as Elsevier, Springer, Taylor and Francis, Emerald, etc.…”

Section: Systematic Literature Reviewmentioning

confidence: 99%

Application of Industry 4.0 in the Procurement Processes of Supply Chains: A Systematic Literature Review

et al. 2021

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The fourth industrial revolution has significantly changed the traditional way of managing supply chains. The applications of Industry 4.0 (I4.0) technologies such as the Internet of Things (IoT) and Artificial Intelligence (AI) in different processes of supply chains have assisted companies to improve their performance. Procurement can be considered a critical process in supply chain management since it can provide novel opportunities for supply chains to improve their efficiency and effectiveness. However, I4.0 applications can be costly and may not be reasonably affordable. Therefore, the benefits of implementing these technologies should be clarified for procurement managers before investing in the digitalization of the procurement process. Despite the importance of this issue, few papers have attempted to address the effects of I4.0 technologies and smart systems in procurement. To fill this gap, a Systematic Literature Review (SLR) on the applications of I4.0 technologies in procurement has been used in this study. By reviewing 70 papers through appropriate keywords, a conceptual framework is developed to classify different value propositions provided by the different applications of I4.0 technologies in procurement processes. Results reveal nine value propositions that can provide a better understanding for the procurement department to analyze the benefits of implementing the related I4.0 technologies in different activities. Finally, findings and future study opportunities are concluded.

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“…The accelerating process of agricultural modernization increased the quantity of fossil fuel consumption; therefore, optimization is a way to reduce fossil energy and greenhouse gas (GHG) emissions (Rokicki et al, 2021;Zhao et al, 2021). The increased consumption of energy not only intensifies the environmental pollution but also brings serious threat to human life (Gu et al, 2019;Gu et al, 2020a;Gu et al, 2020b;Niu et al, 2020;Mir et al, 2021;Sepehri et al, 2021). Therefore, it is an important task to improve energy efficiency of production systems to strengthen the comprehensive management of ecological environment (Steinbuks and Hertel, 2014;Peng et al, 2019b;Zhao et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Analysis of Energy Input–Output of Farms and Assessment of Greenhouse Gas Emissions: A Case Study of Cotton Growers

Abbas

Zhao

Waseem

et al. 2022

Front. Environ. Sci.

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The concept of agricultural and environmental sustainability refers to minimizing the degradation of natural resources while increasing crop productions; assessment of inflow and outflow energy resources is helpful in highlighting the resilience of the system and maintaining its productivity. In this regard, the current study evaluated the amount of energy input–output of cotton productions and their environmental interventions. Data are randomly collected from 400 cotton farmers through face-to-face interview. Results suggested that the major energy is consumed by three culprits, i.e., chemical fertilizer, diesel fuel, and irrigation water (11,532.60, 11,121.54, and 4,531.97 MJ ha−1, respectively). Total greenhouse gas (GHG) emission is 1,106.12 kg CO2eq ha−1 with the main share coming from diesel fuel, machinery, and irrigation water. Stimulating data of energies, e.g., energy use efficiency (1.53), specific energy (7.69 MJ kg−1), energy productivity (0.13 kg MJ−1), and net energy gained (16,409.77 MJ ha−1). Further analysis using data envelopment analysis (DEA) showed that low technical efficiency, i.e., 69.02%, is the most probable cause of poor energy use efficiency. The impermanent trend in growth of energy efficiency has been witnessed with plausible potential of energy savings from 4,048.012 to 16,194.77 MJ ha−1 and a reduction of 148.96–595.96 kg CO2eq ha−1 in GHG emission. Cobb–Douglas production function is further applied to discover the associations of energy input to output, which inferred that chemical fertilizer, diesel fuel, machinery, and biocides have significant effect on cotton yield. The marginal physical productivity (MPP) values obliged that the additional use in energy (1 MJ) from fuel (diesel), biocides, and machinery can enhance cotton yield at the rate of 0.35, 1.52, and 0.45 kg ha−1, respectively. Energy saving best links with energy sharing data, i.e., 55.66% (direct), 44.34% (indirect), 21.05% (renewable), and 78.95% (nonrenewable), further unveiled the high usage of nonrenewable energy resources (fossil fuels) that ultimately contributes to high emissions of GHGs. We hope that these findings could help in the management of energy budget that we believe will reduce the high emissions of GHGs.

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A sustainable production-inventory model with imperfect quality under preservation technology and quality improvement investment

Cited by 122 publications

References 28 publications

A Methodological Framework for Assessing the Sustainability of Solid Biofuels Systems

A Methodological Framework for Assessing the Sustainability of Solid Biofuels Systems

Application of Industry 4.0 in the Procurement Processes of Supply Chains: A Systematic Literature Review

Analysis of Energy Input–Output of Farms and Assessment of Greenhouse Gas Emissions: A Case Study of Cotton Growers

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