Distribution, Transshipment, and Sustainable Logistics for Fashion Products

Technologies that are ready-to-use and adaptable in real time to customers’ individual needs are influencing the supply chain of the future. This study proposes a supply chain framework for an innovative and sustainable real-time fashion system (RTFS) between enterprises, designers, and consumers in 3D clothing production systems, using information communication technology, artificial intelligence (AI), and virtual environments. In particular, the RTFS is targeted at customers actively involved in product purchasing, personalising, co-designing, and manufacturing planning. The fashion industry is oriented towards 3D services as a service model, owing to the automation and democratisation of product customisation and personalisation processes. Furthermore, AI offers referral services to prosumers or/and customers and companies, and proposes individual designs with perfect styles and measurements using new 3D computer aided design and AI-based product design technologies for fashion and design companies and customers. Consequently, 3D fashion products in the RTFS supply chain are entirely digital, saving time and money with sampling and tracking capabilities, secured, and trusted with personalised service delivery.

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A robust-heuristic optimization approach to a green supply chain design with consideration of assorted vehicle types and carbon policies under uncertainty

Annals of Operations Research ◽

10.1007/s10479-021-03985-6 ◽

2021 ◽

Author(s):

Zahra Homayouni ◽

Mir Saman Pishvaee ◽

Hamed Jahani ◽

Dmitry Ivanov

Keyword(s):

Supply Chains ◽

Large Scale ◽

Programming Model ◽

Supply Chain Design ◽

Heuristic Optimization ◽

Optimization Approach ◽

Economic Uncertainty ◽

Cap And Trade ◽

Sustainable Logistics ◽

Goal Programming Model

AbstractAdoption of carbon regulation mechanisms facilitates an evolution toward green and sustainable supply chains followed by an increased complexity. Through the development and usage of a multi-choice goal programming model solved by an improved algorithm, this article investigates sustainability strategies for carbon regulations mechanisms. We first propose a sustainable logistics model that considers assorted vehicle types and gas emissions involved with product transportation. We then construct a bi-objective model that minimizes total cost as the first objective function and follows environmental considerations in the second one. With our novel robust-heuristic optimization approach, we seek to support the decision-makers in comparison and selection of carbon emission policies in supply chains in complex settings with assorted vehicle types, demand and economic uncertainty. We deploy our model in a case-study to evaluate and analyse two carbon reduction policies, i.e., carbon-tax and cap-and-trade policies. The results demonstrate that our robust-heuristic methodology can efficiently deal with demand and economic uncertainty, especially in large-scale problems. Our findings suggest that governmental incentives for a cap-and-trade policy would be more effective for supply chains in lowering pollution by investing in cleaner technologies and adopting greener practices.

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Joint Strategy of Advance Selling and Resalable Returns for Fashion Products

2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) ◽

10.1109/ieem45057.2020.9309736 ◽

2020 ◽

Author(s):

Xiaowen Sun ◽

Yan Chen

Keyword(s):

Advance Selling ◽

Fashion Products ◽

Joint Strategy

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Sales Promotion, Hedonic Shopping Value, and Impulse Buying on Online Consumer Websites

SHS Web of Conferences ◽

10.1051/shsconf/20207601052 ◽

2020 ◽

Vol 76 ◽

pp. 01052

Author(s):

Sesilya Kempa ◽

Kevin Vebrian ◽

Hakim Bendjeroua

Keyword(s):

Online Shopping ◽

Positive Influence ◽

Partial Least Square ◽

Sales Promotion ◽

Least Square ◽

Impulse Buying ◽

Fashion Products ◽

Hedonic Shopping Value ◽

Hedonic Shopping ◽

Online Buying

The phenomenon in the increasing fashion business is caused by online shopping activity, especially in fashion products. In this research, shopping activity is focused on online shopping. Online shopping is also called internet shopping, electronic shopping, online buying, or buying through the internet. Online shopping has become the newest trend for Indonesian as an alternative to buying a product or service. Advertisement and trend are able to influence consumers in doing or deciding to buy. This is the reason people buy excessively unplanned as needed. This research purpose is to observe the sales promotion influence toward impulse buying with hedonic shopping value as intervening to fashion online shopping consumers in Surabaya. This research uses 99 respondents, and the data analysis uses the Partial Least Square (PLS) model. The result shows that sales promotion and hedonic shopping value have significant positive influence on impulse buying. Moreover, hedonic shopping value as variable intervening has an influence between sales promotion to impulse buying.

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