A novel multi-item joint replenishment problem considering multiple type discounts

Cui, Ligang; Zhang, Yajun; Deng, Jie; Xu, Maozeng

doi:10.1371/journal.pone.0194738

Cited by 10 publications

(7 citation statements)

References 43 publications

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“…After 2012, China changed its focus to high-quality economic development instead of high-speed economic development. This transformation requires a reduction environment pollution and energy-intensive enterprises, strengthening of scientific and technological innovation, promotion of high-tech industries, and improvement in the quality of economic development [ 6 , 7 ]. In this light, green innovation and high-tech industries have become key factors for the promotion of regional economic transformation, while solving the problem of environmental pollution and achieving high-quality development.…”

Section: Introductionmentioning

confidence: 99%

Spatial analysis, coupling coordination, and efficiency evaluation of green innovation: A case study of the Yangtze River Economic Belt

2020

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Green innovation is an important driving force to promote the sustainable development of urban society and economy. This paper constructs an evaluation index system containing social undesirable outputs, and uses the Super-SBM model and the Malmquist-Luenberger index to evaluate green innovation efficiency in 42 cities along the Yangtze River Economic Belt from 2013 to 2017. Additionally, spatial autocorrelation analysis is used to study the spatial correlation of green innovation efficiency. Finally, the coupling coordination degree model is used to study the coupling coordination degree between green innovation efficiency and high-tech industries. The following results were obtained. (1) The average value of green innovation efficiency increased from 1.0446 to 1.0987, and the annual average growth rate of total factor productivity of green innovation was 1.1%. (2) Green innovation efficiency of the Yangtze River Economic Belt had a significant spatial positive correlation, but the types of agglomeration among cities in different sections of the Yangtze River were quite different. (3) The coupling coordination degree between green innovation efficiency and the development level of high-tech industries in the cities of the Yangtze River Economic Belt was in the basic coordination stage. Based on the research results, we suggest that cities in this belt further enhance the interactive relationship between green innovation and economic development and promote the coordinated development of economy and society.

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Section: Introductionmentioning

confidence: 99%

Spatial analysis, coupling coordination, and efficiency evaluation of green innovation: A case study of the Yangtze River Economic Belt

2020

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“…Liu et al (2018) [ 22 ] proposed a constrained joint replenishment and delivery model considering quantity discount, and designed a heuristic and hybrid Tabu search algorithm to solve it. Cui (2018) [ 23 ] proposed a novel multi-item joint replenishment problem with multiple-type discounts and developed a heuristic algorithm to find the optimal solution of the JRP model. Following these studies, our research focuses on a new JRP model, in which multiple non-instantaneous deteriorating items are joint replenished from multiple suppliers with different quantity discounts.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimizing multi-supplier multi-item joint replenishment problem for non-instantaneous deteriorating items with quantity discounts

Yue

et al. 2021

PLoS ONE

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This paper deals with a new joint replenishment problem, in which a number of non-instantaneous deteriorating items are replenished from several suppliers under different quantity discounts schemes. Involving both joint replenishment decisions and supplier selection decisions makes the problem to be NP-hard. In particular, the consideration of non-instantaneous deterioration makes it more challenging to handle. We first construct a mathematical model integrated with a supplier selection system and a joint replenishment program for non-instantaneous deteriorating items to formulate the problem. Then we develop a novel swarm intelligence optimization algorithm, the Improved Moth-flame Optimization (IMFO) algorithm, to solve the proposed model. The results of several numerical experiments analyses reveal that the IMFO algorithm is an effective algorithm for solving the proposed model in terms of solution quality and searching stableness. Finally, we conduct extensive experiments to further investigate the performance of the proposed model.

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“…This is typical of African wear which comes in different forms and sizes. In addition, in many multi-item inventory environments such as the garment store or boutique, a joint replenishment policy is defined as the coordination of multiple cloth items that may be ordered jointly from a single producer [21]. Practically, a retailer is willing to buy more when the producer offers a price break or discount.…”

Section: Literature Reviewmentioning

confidence: 99%

Application of Fuzzy Clustering Methodology for Garment Sizing

Opaleye¹,

Kolawole²,

Charles-Owaba³

2019

AJDMKD

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With the growing demand for Ready-To-Wear outfits especially in African textile prints, the currently used European, American and Asian garment sizing systems seems unsuitable for the Nigerian garment industry where customer's choose clothing item not only due to fit in terms of body measurements but also the dress culture, style, preference and some other implicit requirements. This study aims to develop a size chart for different styles of trousers worn by Nigeria male population. Anthropometric data of 500 customers were taken in a natural random process and from stable tailoring establishments. The data was analysed using descriptive statistics and the fuzzy clustering methodology (FCM) was used as a suggestive approach which describes subjectivity in customer preferences. Analysis of the FCM output shows that the number of individual measurements with misfit has no significant difference (F estimated = 1.119, p-value=0.375 and F critical = 2.866) across cluster. The percentages of misfit were 38.0, 23.4, 31.6, 31.4 and 3.8% for hip measurement, length, waist, thigh and bottomgirth respectively. The developed sizing system which reflects subjectivity in customer's selection of trouser may also enhance both producer and retailer's production and replenishment policy.

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A novel multi-item joint replenishment problem considering multiple type discounts

Cited by 10 publications

References 43 publications

Spatial analysis, coupling coordination, and efficiency evaluation of green innovation: A case study of the Yangtze River Economic Belt

Spatial analysis, coupling coordination, and efficiency evaluation of green innovation: A case study of the Yangtze River Economic Belt

Optimizing multi-supplier multi-item joint replenishment problem for non-instantaneous deteriorating items with quantity discounts

Application of Fuzzy Clustering Methodology for Garment Sizing

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