scholarly journals A reverse logistics chain mathematical model for a sustainable production system of perishable goods based on demand optimization

2018 ◽  
Vol 15 (4) ◽  
pp. 709-721 ◽  
Author(s):  
Saeed Tavakkoli Moghaddam ◽  
Mehrdad Javadi ◽  
Seyyed Mohammad Hadji Molana
Keyword(s):  
Mathematical Model ◽  
Reverse Logistics ◽  
Production System ◽  
Sustainable Production ◽  
On Demand ◽  
Perishable Goods

To the question of creating a complex mathematical model of a production system

2020 ◽  
Keyword(s):  
Mathematical Model ◽  
Hierarchical Structure ◽  
Production System ◽  
Quality Criterion ◽  
Controlling Parameter ◽  
Complex Mathematical Model

One of the approaches to the development of a complex mathematical model of a production system is considered. Keywords mathematical model; target subsystem; quality criterion; controlling parameter; hierarchical structure

A system dynamics model for routing and scheduling of cross-dock and transportation in reverse logistics network of perishable goods

2021 ◽  
pp. 1-17
Author(s):  
Pezhman Abbasi Tavallali ◽  
Mohammad Reza Feylizadeh ◽  
Atefeh Amindoust
Keyword(s):  
System Dynamics ◽  
Reverse Logistics ◽  
Logistics Network ◽  
Routing And Scheduling ◽  
Perishable Goods ◽  
Decision Variables ◽  
Proposed Model ◽  
Reverse Logistics Network ◽  
The Cross ◽  
Space Requirements

Cross-dock is defined as the practice of unloading goods from incoming vehicles and loading them directly into outbound vehicles. Cross-docking can simplify supply chains and help them to deliver goods to the market more swiftly and efficiently by removing or minimizing warehousing costs, space requirements, and use of inventory. Regarding the lifetime of perishable goods, their routing and scheduling in the cross-dock and transportation are of great importance. This study aims to analyze the scheduling and routing of cross-dock and transportation by System Dynamics (SD) modeling to design a reverse logistics network for the perishable goods. For this purpose, the relations between the selected variables are first specified, followed by assessing and examining the proposed model. Finally, four scenarios are developed to determine the optimal values of decision variables. The results indicate the most influencing factors on reaching the optimal status is the minimum distance between the cross-dock and destination, rather than increasing the number of manufactories.

Development of metaheuristics to solve a transportation inventory location routing problem considering lost sale for perishable goods

2019 ◽  
Vol 14 (1) ◽  
pp. 175-198 ◽  
Author(s):  
S.M.T. Fatemi Ghomi ◽  
B. Asgarian
Keyword(s):  
Mathematical Model ◽  
Distribution Systems ◽  
Hybrid Approach ◽  
Rational Approach ◽  
Location Routing Problem ◽  
Routing Problem ◽  
Content Type ◽  
Location Routing ◽  
Perishable Goods ◽  
The Impact

PurposeFinding a rational approach to maintain a freshness of foods and perishable goods and saving their intrinsic attributes during a distribution of these products is one of the main issues for distribution and logistics companies. This paper aims to provide a framework for distribution of perishable goods which can be applied for real life situations.Design/methodology/approachThis paper proposes a novel mathematical model for transportation inventory location routing problem. In addition, the paper addresses the impact of perishable goods age on the demand of final customers. The model is optimally solved for small- and medium-scale problems. Moreover, regarding to NP-hard nature of the proposed model, two simple and one hybrid metaheuristic algorithms are developed to cope with the complexity of problem in large scale problems.FindingsNumerical examples with different scenarios and sensitivity analysis are conducted to investigate the performance of proposed algorithms and impacts of important parameters on optimal solutions. The results show the acceptable performance of proposed algorithms.Originality/valueThe authors formulate a novel mathematical model which can be applicable in perishable goods distribution systems In this regard, the authors consider lost sale which is proportional to age of products. A new hybrid approach is applied to tackle the problem and the results show the rational performance of the algorithm.

scholarly journals On-Demand MEMS Device Production System by Module-Based Microfactory

2010 ◽  
Vol 4 (2) ◽  
pp. 110-116 ◽  
Author(s):  
Kiwamu Ashida ◽  
◽  
Shizuka Nakano ◽  
Jaehyuk Park ◽  
Jun Akedo
Keyword(s):  
Production System ◽  
High Performance ◽  
Thin Sheet ◽  
Aerosol Deposition ◽  
Micro Electro Mechanical Systems ◽  
Unit Process ◽  
On Demand ◽  
Mems Technology ◽  
Thin Sheet Metal ◽  
Mems Device

Many micro-scale devices have been developed by applying micro-electro-mechanical systems (MEMS) technology, but MEMS production facilities are large and costly, making it difficult to develop small numbers of trial devices. The novel on-demand MEMS device production system we developed applies two major concepts – that of the microfactory and the introduction of non-MEMS processes in microfabrication. These two concepts have made manufacturing more ecological, economical, agile, and flexible through downsizing, forming an automated production line by connecting standardized unit-processing cells, each of which has a desktop process, a part transfer robot, and a standardized connection interface. These enable any process cell to be connected in any sequence that the target product requires. Four unit-process cells were developed – the micropress cell for fabricating microstructures from thin sheet metal and the miniature aerosol deposition (AD) process cell for fabricating high-performance piezoelectric (PZT) ceramics actuators. The feasibility of the on-demand MEMS production system was demonstrated by the fabrication of a MEMS-like micromirror scanner, proving the potential of on-demand MEMS production in diversified small-lot production.

Membrane Bioreactors for Green Processing in a Sustainable Production System

2013 ◽  
pp. 227-250 ◽  
Author(s):  
Rosalinda Mazzei ◽  
Emma Piacentini ◽  
Enrico Drioli ◽  
Lidietta Giorno
Keyword(s):  
Production System ◽  
Membrane Bioreactors ◽  
Sustainable Production ◽  
Green Processing

IMPROVED USE OF FOLIAR ON CLEMENTINE MANDARIN TO MANIPULATE CROPPING IN A SUSTAINABLE PRODUCTION SYSTEM

2004 ◽  
pp. 167-175 ◽  
Author(s):  
M. El-Otmani ◽  
F.-Z. Taibi ◽  
B. Lmoufid ◽  
A. Ait-Oubahou ◽  
C.J. Lovatt
Keyword(s):  
Production System ◽  
Sustainable Production

A Mathematics Model for Quantitative Analysis of Demand Disruption Caused by Rumor Spreading

2014 ◽  
Vol 13 (03) ◽  
pp. 585-602 ◽  
Author(s):  
Haifeng Zhao ◽  
Bin Lin ◽  
Chongqing Guo
Keyword(s):  
Mathematical Model ◽  
Supply Chain ◽  
Quantitative Analysis ◽  
New Method ◽  
Mathematics Model ◽  
Rumor Spreading ◽  
On Demand ◽  
Spreading Model ◽  
Internet Age ◽  
Purchasing Intention

Rumors greatly impact consumers' attitudes and purchasing intention. Rumor spreading can disrupt supply chain demand, particularly in today's Internet age. We propose a mathematical model for the quantitative analysis of demand disruption caused by rumor spreading based on the susceptible-infective-isolated-immune (SI2I) rumor spreading model, which extends the susceptible-infective-recovered (SIR) rumor spreading model by dividing stiflers into isolators and immunes. Both groups represent individuals who do not propagate a rumor, but the former believes the rumor while the latter does not. From the firms' perspective, only ignorants and immunes will still purchase their products and services after a rumor has spread. Hence, the influence of rumors on demand can be quantitatively reflected by the proportion of ignorants and immunes in the population. This study offers a new method for company managers to predict the variation trend of demand and estimate demand loss when a firm is attacked by rumors.

Experimental analysis of an on demand external domestic hot water production system using four control strategies

2013 ◽  
Vol 103 ◽  
pp. 85-96 ◽  
Author(s):  
José Fernández-Seara ◽  
Francisco J. Uhía ◽  
Ángel Á. Pardiñas ◽  
Santiago Bastos
Keyword(s):  
Experimental Analysis ◽  
Production System ◽  
Control Strategies ◽  
Hot Water ◽  
Water Production ◽  
Domestic Hot Water ◽  
On Demand
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