A Supply Chain Analytics Approach for Optimizing Milk Collection Routing in Multi-Depot Networks DOI Creative Commons
Mattia Neroni, Marta Rinaldi

Supply Chain Analytics, Год журнала: 2025, Номер unknown, С. 100123 - 100123

Опубликована: Апрель 1, 2025

Язык: Английский

Robust optimization of sustainable closed-loop supply chain considering carbon emission schemes DOI
Hêriş Golpîra, Ahvan Javanmardan

Sustainable Production and Consumption, Год журнала: 2022, Номер 30, С. 640 - 656

Опубликована: Янв. 4, 2022

Язык: Английский

Процитировано

63

COVID-19 vaccine distribution planning using a congested queuing system—A real case from Australia DOI Open Access
Hamed Jahani, Amir Eshaghi Chaleshtori, Seyed Mohammad Sadegh Khaksar

и другие.

Transportation Research Part E Logistics and Transportation Review, Год журнала: 2022, Номер 163, С. 102749 - 102749

Опубликована: Май 30, 2022

Язык: Английский

Процитировано

48

Sustainable forward-reverse logistics for multi-product delivery and pickup in B2C E-commerce towards the circular economy DOI
Dhirendra Prajapati, Saurabh Pratap, Mengdi Zhang

и другие.

International Journal of Production Economics, Год журнала: 2022, Номер 253, С. 108606 - 108606

Опубликована: Авг. 21, 2022

Язык: Английский

Процитировано

46

Above management: Scale development and empirical testing for public opinion monitoring of marine pollution DOI
Jihong Chen, Pingping Li, Xue Wang

и другие.

Marine Pollution Bulletin, Год журнала: 2023, Номер 192, С. 114953 - 114953

Опубликована: Июнь 6, 2023

Язык: Английский

Процитировано

28

From linear to circular sustainable supply chain network optimisation: towards a conceptual framework DOI
Khadija Echefaj, Abdelkabir Charkaoui, Anass Cherrafi

и другие.

Production Planning & Control, Год журнала: 2024, Номер unknown, С. 1 - 25

Опубликована: Янв. 15, 2024

Circular economy has the potential to counter sustainability challenges by moving towards a circular flow that enhances efficiency of resource use. Government directives and stakeholders' pressures are forcing organisations redesign their global supply chain network fit circularity aims. To fulfil this need, many models proposed integrate objectives in optimisation. However, designing sustainable within framework is lacking. This barrier for provide product. fill gap, descriptive content analysis used paper scrutinise literature develop conceptual incorporating strategies assist design. The developed useful tool helps better transition from linear economy. Based on results, research opportunities identified suggestions future proposed. findings researchers managers implement practices chain.

Язык: Английский

Процитировано

12

Sustainable closed-loop supply chains and their optimization models: a review of the literature DOI
Jonathan Lozano Oviedo, Cristián E. Cortés, P. Rey

и другие.

Clean Technologies and Environmental Policy, Год журнала: 2024, Номер 26(4), С. 999 - 1023

Опубликована: Янв. 16, 2024

Язык: Английский

Процитировано

10

Modelling uncertainty in sustainable-green integrated reverse logistics network using metaheuristics optimization DOI
Hadi Gholizadeh, Mark Goh, Hamed Fazlollahtabar

и другие.

Computers & Industrial Engineering, Год журнала: 2021, Номер 163, С. 107828 - 107828

Опубликована: Дек. 1, 2021

Язык: Английский

Процитировано

52

A novel multi-objective robust possibilistic flexible programming to design a sustainable apparel closed-loop supply chain network DOI Creative Commons

Samira Rouhani,

Saman Hassanzadeh Amin, Leslie J. Wardley

и другие.

Journal of Environmental Management, Год журнала: 2024, Номер 365, С. 121496 - 121496

Опубликована: Июнь 28, 2024

Designing a sustainable Closed-Loop Supply Chain (CLSC) network is imperative for the apparel industry, given its escalating adverse effects on economic, environmental, and social dimensions. In this study, novel tri-objective location-allocation optimization model specifically developed designing CLSC, incorporating industry's unique facilities. The aim of to simultaneously minimize costs negative environmental impacts while maximizing benefits under demands returns uncertainty. A notable research contribution lies in addressing challenges treating different types returns, including commercial, End Of Use (EOU) Life (EOL) due their uncertain quality quantity. Additionally, optimizes performance levels production facilities, aspect CLSC research. Moreover, flexibility constraints related demand fulfilment considered. To cope with such uncertainties, new hybrid robust possibilistic flexible programming developed, by extending previous methodologies. core innovation solution approach pioneering utilization hexagonal fuzzy numbers epistemic parameters, making significant advancement field CLSC. Comparative analysis similar studies demonstrates superiority proposed model, over method using triangular numbers. Furthermore, AUGMECON lexicographic applied handle multi-objective model. application shown focusing Southwestern Ontario Canada. results reveal that commercial EOU have more detrimental impact sustainability aspects compared EOL returns.

Язык: Английский

Процитировано

8

Designing a dairy supply chain network considering sustainability and resilience: a multistage decision-making framework DOI Open Access

Farnaz Zarei-Kordshouli,

Mohammad Mahdi Paydar,

Sina Nayeri

и другие.

Clean Technologies and Environmental Policy, Год журнала: 2023, Номер 25(9), С. 2903 - 2927

Опубликована: Май 9, 2023

Язык: Английский

Процитировано

15

Viable healthcare supply chain network design for a pandemic DOI Creative Commons
Mehdi Alizadeh, Mir Saman Pishvaee, Hamed Jahani

и другие.

Annals of Operations Research, Год журнала: 2022, Номер 328(1), С. 35 - 73

Опубликована: Сен. 9, 2022

Abstract The recent COVID-19 pandemic revealed that healthcare networks must have a flexible and effective structure. In this study, we develop viable network design for using multi-stage stochastic approach. We propose multi-level includes health centers, computed tomography scan hospitals, clinics. Patients conditions to returning normal life or quarantining at home. Three objectives are defined: maximizing the probability of patient recovery, minimizing costs all centers in network, Coronavirus death rate. investigate real case study Iran demonstrate model’s applicability. Finally, compare supply chain with situation advise how can continue remain viable.

Язык: Английский

Процитировано

21