Modelling And optimal lot-sizing of the replenishments in constrained, multi-product and bi-objective EPQ models with defective products: Generalised Cross Decomposition

Gharaei, Abolfazl; Shekarabi, Seyed Ashkan Hoseini; Karimi, Mostafa

doi:10.1080/23302674.2019.1574364

Cited by 43 publications

(13 citation statements)

References 48 publications

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“…However, a logistic regression model can explain the main influencing factors only in a specific period, and it is difficult to accurately simulate and predict long-term and dynamic change 50 . The optimization and improvement of models and algorithms must be further studied, and new algorithms, such as generalized cross decomposition 51 , generalized outer approximation 52 and selective maintenance scheduling with multiple maintenance actions 53 , can be introduced to solve complex nonlinear problems and improve the applicability and accuracy of simulation prediction. In the current study, we considered only four explanatory variables of driving factors, and some important natural and social factors, such as precipitation, meteorological disasters, geological structures, geological disasters, and functional types of urban blocks, may have been omitted.…”

Section: Rs Interpretation Algorithms Have Been Developed To Extract mentioning

confidence: 99%

Spatial–temporal dynamics and driving factor analysis of urban ecological land in Zhuhai city, China

Zhang

2020

Sci Rep

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Ecological land is a type of land that has considerable ecological value. Understanding the evolution of urban ecological land in Zhuhai, China, holds great significance for revealing the evolution of ecological land in the Dawan District of southern China. We explored the temporal and spatial variation in urban ecological land in Zhuhai using the transformation matrix, equivalent ecological land, landscape index and ecological land center of gravity migration methods. Multivariate logistic regression was used to analyze the mechanism of ecological land change, and a transition probability map of the ecological land in the study area was drawn. The results showed the following. (1) From 1991 to 2018, the area of ecological land in Zhuhai city continuously decreased, with a reduction in area of 274.8 km2, or 32.3%. Sharp changes mainly occurred from 1991 to 2000. (2) The ecological land in the study area has gradually become fragmented, and the degree of landscape heterogeneity has increased. Affected by the expansion of the outer edge of the city to the southwest and the construction of ecological land within the city, the center of gravity of the ecological land has shifted to the northeast by 1346 m. (3) The elevation, slope, distance from built-up land and growth rate of built-up land are important factors influencing the transformation of ecological land. In the future, rivers and shallow coastal waters, tidal flats, and grasslands in the study area have the highest probability of transformation. The Jinwan District and Xiangzhou District will face severe ecological land protection pressure. The method of spatial–temporal analysis of urban ecological land developed in this paper can be applied in similar studies on other cities, and the results obtained for Zhuhai, China, have reference value for future urban planning and ecological protection work.

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Section: Rs Interpretation Algorithms Have Been Developed To Extract mentioning

confidence: 99%

Spatial–temporal dynamics and driving factor analysis of urban ecological land in Zhuhai city, China

Zhang

2020

Sci Rep

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“…To date, many scholars have found that the government plays a significant role in guiding and standardizing enterprises' green innovation. e relevant domestic and international research mainly focuses on the incentives and punishments of the government [23,24]. In the process of promoting green technology innovation, government policies play an irreplaceable role regardless of whether these policies provide incentive support or punishment for enterprises.…”

Section: E Government's Role In Green Collaborative Innovationmentioning

confidence: 99%

Research on Green Collaborative Innovation Mechanism of Cloud Manufacturing Enterprises under Government Supervision

Zhai

et al. 2021

Mathematical Problems in Engineering

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With the rapid development of information technology, the sharing economy based on “Internet plus” cloud platforms has become a new collaborative innovation mode and a hot topic in recent years. Considering that government regulation restricts green innovation cooperation among cloud manufacturing enterprises, an evolutionary game model involving the government and cloud manufacturing enterprises A and B with potential differences in their technology knowledge is established using evolutionary game theory. A replication dynamic equation is established, the evolutionarily stable equilibrium strategy of the three parties is analysed, and the key factors affecting the cooperative selection strategy of the government and cloud manufacturing enterprises are discussed through a MATLAB-based numerical simulation. This research shows that when governmental incentives and punishments, the platform load capacity, the trust between enterprises, the technology loss coefficient, and the informatization degree are increased, the government will tend to choose supervision, and cloud manufacturing enterprises A and B will tend to choose the “collaborative innovation” strategy. These results provide a scientific basis suggesting that the government should not only formulate rules and regulations for cloud manufacturing enterprises but also promote green collaborative innovation among such enterprises and enhance their core competitiveness.

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“…For example, bottled drinking water industries' supply chain tries to reduce the cost of excessive inventory storage by implementing just-in-time inventory management. The efficiency of inventory storage costs and the purchase of raw materials for production to be more controllable effect the production plan has been scheduled monthly by maintaining the ideal strategy through Joint Economic Lot-sizing (Gharaei, Hoseini Shekarabi et al, 2020a). Besides, manufacturers can save cash flow because raw materials will be carried out quickly (Sarkar & Giri, 2020).…”

Section: Relationship Between Lean Scs and Financial Performancementioning

confidence: 99%

The effect of lean and agile supply chain strategy on financial performance with mediating of strategic supplier integration & strategic customer integration: Evidence from bottled drinking-water industry in Indonesia

Ariadi

Surachman

Sumiati

et al. 2021

Cogent Business & Management

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This study analyses the importance of lean supply chain strategy (SCS) and agile SCS in Indonesia's bottled water industries, influencing the financial performance through mediating variables. Using the resource-based view (RBV) theory and relational view to investigate these relations, a series of hypotheses are developed, considering strategic supplier integration (SSI), strategic customer integration (SCI) as a mediator variable. The study analyses structural equation modeling (SEM) derived by observed data from 139 firms in Indonesia. The research analyzes how lean SCS and agility SCS on financial performance is affected by SSI and SCI. The paper supports the literature on lean SCS and agile SCS by theoretically elucidating and empirically revealing how SSI and SCI collaborating affect a positive relationship between lean SCS & agile SCS and financial performance.

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Modelling And optimal lot-sizing of the replenishments in constrained, multi-product and bi-objective EPQ models with defective products: Generalised Cross Decomposition

Cited by 43 publications

References 48 publications

Spatial–temporal dynamics and driving factor analysis of urban ecological land in Zhuhai city, China

Spatial–temporal dynamics and driving factor analysis of urban ecological land in Zhuhai city, China

Research on Green Collaborative Innovation Mechanism of Cloud Manufacturing Enterprises under Government Supervision

The effect of lean and agile supply chain strategy on financial performance with mediating of strategic supplier integration & strategic customer integration: Evidence from bottled drinking-water industry in Indonesia

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