Sustainability in a lot-sizing and scheduling problem with delivery time window and sequence-dependent setup cost consideration

Vaez, Parinaz; Sabouhi, Fatemeh; Jabalameli, Mohammad Saeed

doi:10.1016/j.scs.2019.101718

Cited by 17 publications

(8 citation statements)

References 48 publications

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“…They demonstrated that the carbon cap and trade could impact the firm's environmental sustainability. Vaez et al (2019) proposed a bi-objective lot-sizing and scheduling model considering economic and environmental sustainability. They have applied the ε-constraint method to draw an optimal trade-off between the multi-objective.…”

Section: Lot-sizing Considering Environmental Aspectsmentioning

confidence: 99%

Joint Multi-item Multi-supplier Sustainable Lot-sizing Model Applying Combined BWM, TOPSIS, Possibilistic Programming, and ε-constraint Method

Shaw

Lahri

Shankar

2021

Preprint

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Procurement decisions play a vital part in the sustainable transformation of the supply chain. Till now, a variety of supplier selection and lot-sizing models have been suggested, in particular, focusing on carbon emissions in a deterministic environment. It is noted that stressing only on carbon emissions cannot fully transform a sustainable supply chain. The present study argues that with carbon footprint, other dimensions, such as social sustainability, water footprint, recycled material use, solid and liquid waste, need to be considered in sustainable procurement decisions. To fill the gaps, this study proposed a three-stage multi-objective multi-supplier, multi-period joint supplier selection, and a lot-sizing model, taking into account carbon footprint, water footprint, solid and liquid waste, and use of recycled materials in a stochastic environment. The model optimizes three objectives (cost, carbon emission, and social sustainability). The model considers different model parameters as uncertain, such as costs, emission, solid waste, liquid waste, recycled material, quality rejection, and capacity. The present study suggests how to quantify social sustainability and further use it in the lot-sizing model. The proposed study has been carried out in three stages. In the first stage, BWM (Best-Worst method) and TOPSIS are applied to evaluate suppliers' social scores. In the second stage, the suppliers' social scores are used in the proposed possibilistic lot-sizing model. In the third stage, various trade-off curves are generated by applying the ε-constraint method. The model produces distinct optimal solutions for different uncertainty levels, which are used to create trade-off curves among the cost, emission, and social dimensions. The results facilitate decision-makers to decide the lot-size in an ambiguous environment.

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Section: Lot-sizing Considering Environmental Aspectsmentioning

confidence: 99%

Joint Multi-item Multi-supplier Sustainable Lot-sizing Model Applying Combined BWM, TOPSIS, Possibilistic Programming, and ε-constraint Method

Shaw

Lahri

Shankar

2021

Preprint

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“…The first method involves using electric arc furnaces to melt sponge iron and produce the alloy. The second method uses crude iron (iron produced in the indirect reduction process) and burns the excess carbon [38]. During this process, the amount of crude iron-carbon is reduced from 5.3 to 6, 2.0, and 1.5% by weight; then, other elements are added to obtain the desired composition.…”

Section: Figure 1 the Configuration Of Considered Forward Supply Chainmentioning

confidence: 99%

Designing a disruption-aware supply chain network considering precautionary and contingency strategies: a real-life case study

2021

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Due to the high risk in the business environment, supply chains must adopt a tailored mechanism to deal with disruptions. This research proposes a multi-objective formulation to design a robust and resilient forward supply chain under multiple disruptions and uncertainty. The mentioned objective functions include minimizing the total cost, environmental impacts, and the network non-resiliency associated with the supply chain simultaneously countered using an augmented ε-constraint method. A Mulvey robust optimization approach is also utilized to deal with uncertainty. Ultimately, the developed model is validated based on three datasets associated with a case study of the steel industry. The results indicate that preventive and mitigation resilience strategies have significantly promoted the supply chain's capabilities to deal with disruptions. Controlling network resiliency via non-resiliency measures has also created a risk-aware and robust structure in the incidence of disturbances. Numerical results reveal that multiple sourcing, lateral transshipment, and fortification of facilities will lead to the greatest cost-efficiency in the case study. Observations also indicate that the fortified supply chain will be highly economically viable in the long run due to the reduction of costs resulting from lost sales, unnecessary inventory holding, and the company's credit risk.

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“…The results of this research are still relatively limited inasmuch the problem of sustainability in the actual practice of economic behavior is still a matter that is still marginalized even though it will become mainstream (Vaez, Sabouhi, & Jabalameli, 2019). Sustainability will be the main demand, current, and for the future, in accordance with the demands of "Millennial Development Goals" (MDGs), as well as the strong demands in the "Industry 4.0" era (Lemay, Doleck, & Bazelais, 2017).…”

Section: Insight Into Sustainabilitymentioning

confidence: 99%

“…Our findings differ from the results of several surveys of young people in several other regions worldwide, contending that in the consumer generation, especially millennials in general, their insights, awareness, and real behavior are very much colored by the view of sustainability. The result of some surveys shows that new generations of consumers, particularly millennials, are willing to pay more for products and services seen as sustainable or coming from companies that are responsible and ethical (Vaez, Sabouhi, & Jabalameli, 2019). They expect companies to protect the environment, prevent exploitation, and treat business partners and employees fairly (Chang, Chiang, Liu, & Xie, 2019).…”

Section: Insight Into Sustainabilitymentioning

confidence: 99%

Indonesian Undergraduate Students’ Perspectives of Sustainable Economic Education: A Survey Study

Wahjoedi¹,

Priambodo²,

Wijayanti³

et al. 2020

PED

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This study was designed to uncover perceptions of 230 undergraduate students at a public university in Indonesia, concerning sustainable economic education issues in higher education settings. The results of this study suggested that the respondents held positive beliefs on the issue of sustainable economic education issues. Despite this, they voiced multifaceted perspectives on the refinement of economic teaching practices. This paper ends with suggestions for the stakeholders to improve the quality of classroom teachings which corresponds to the age of industry 4.0.

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Sustainability in a lot-sizing and scheduling problem with delivery time window and sequence-dependent setup cost consideration

Cited by 17 publications

References 48 publications

Joint Multi-item Multi-supplier Sustainable Lot-sizing Model Applying Combined BWM, TOPSIS, Possibilistic Programming, and ε-constraint Method

Joint Multi-item Multi-supplier Sustainable Lot-sizing Model Applying Combined BWM, TOPSIS, Possibilistic Programming, and ε-constraint Method

Designing a disruption-aware supply chain network considering precautionary and contingency strategies: a real-life case study

Indonesian Undergraduate Students’ Perspectives of Sustainable Economic Education: A Survey Study

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