scholarly journals Identification of reverse logistics decision types from mathematical models

2018 ◽  
Vol 11 (2) ◽  
pp. 239 ◽  
Author(s):  
Pascual Cortés Pellicer ◽  
Faustino Alarcón Valero
Keyword(s):  
Decision Making ◽  
Mathematical Models ◽  
Reverse Logistics ◽  
Business Processes ◽  
Raw Materials ◽  
Decision Makers ◽  
Social Awareness ◽  
Decision Variables ◽  
Object Of Study ◽  
Aid Decision

Purpose: The increase in social awareness, politics and environmental regulation, the scarcity of raw materials and the desired “green” image, are some of the reasons that lead companies to decide for implement processes of Reverse Logistics (RL). At the time when incorporate new RL processes as key business processes, new and important decisions need to be made. Identification and knowledge of these decisions, including the information available and the implications for the company or supply chain, will be fundamental for decision-makers to achieve the best results. In the present work, the main types of RL decisions are identified.Design/methodology/approach: This paper is based on the analysis of mathematical models designed as tools to aid decision making in the field of RL. Once the types of interest work to be analyzed are defined, those studies that really deal about the object of study are searched and analyzed. The decision variables that are taken at work are identified and grouped according to the type of decision and, finally, are showed the main types of decisions used in mathematical models developed in the field of RL.    Findings: The principal conclusion of the research is that the most commonly addressed decisions with mathematical models in the field of RL are those related to the network’s configuration, followed by tactical/operative decisions such as the selections of product’s treatments to realize and the policy of returns or prices, among other decisions.Originality/value: The identification of the main decisions types of the reverse logistics will allow the managers of these processes to know and understand them better, while offer an integrated vision of them, favoring the achievement of better results. 

Integration between knowledge management and business process management and its impact on the decision making process in the construction sector: a case study of Jordan

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sami Wasef Abuezhayeh ◽  
Les Ruddock ◽  
Issa Shehabat
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Business Process Management ◽  
Process Management ◽  
Business Processes ◽  
Decision Makers ◽  
Decision Making Process ◽  
Construction Sector ◽  
Content Type

Purpose The purpose of this paper is to investigate and explain how organizations in the construction sector can enhance their decision-making process (DMP) by practising knowledge management (KM) and business process management (BPM) activities. A conceptual framework is developed that recognises the elements that impact DMP in terms of KM and BPM. The development of this framework goes beyond current empirical work on KM in addition to BPM as it investigates a wider variety of variables that impact DMP. Design/methodology/approach A case study is undertaken in the context of the construction industry in Jordan. A theoretical framework is developed and assessment of the proposed framework was undertaken through a questionnaire survey of decision-makers in the construction sector and expert interviews. Findings The outcomes of this research provide several contributions to aid decision-makers in construction organizations. Growth in the usage of KM and BPM, in addition to the integration between them, can provide employees with task-related knowledge in the organization’s operative business processes, improve process performance, promote core competence and maximise and optimise business performance. Originality/value Through the production of a framework, this study provides a tool to enable improved decision-making. The framework generates a strong operational as well as theoretical approach to the organizational utilization of knowledge and business processes.

Practical models for the care of HIV and AIDS patients

1996 ◽  
Vol 7 (2) ◽  
pp. 91-97 ◽  
Author(s):  
S. C. Brailsford ◽  
R. Basu Roy ◽  
A. K. Shahani ◽  
S. Sivapalan
Keyword(s):  
Decision Making ◽  
Infectious Diseases ◽  
Mathematical Models ◽  
Resource Use ◽  
Health Professionals ◽  
Operational Research ◽  
Resource Planning ◽  
Hiv And Aids ◽  
Operational Modelling ◽  
Aid Decision

Mathematical models for infectious diseases are of lim ited use in providing practical help to health professionals. In this paper we discuss computer models developed jointly by operational research mathematicians and clinicians to meet this need. W e use the term 'operational modelling' to describe this pragm atic approach. The models can aid decision-making at a resource planning level and can also be used by clinicians to monitor and im prove patient care. The models incorporate uncertainty and variability and are therefore mathematically complex, but are easy to use and provide a great deal of useful information about morbidity and resource use.

scholarly journals Approach to intellectualization of complete supply chain management processes using fuzzy expert systems

2021 ◽  
pp. 26-39
Author(s):  
Yuri Romanenkov ◽  
◽  
Yashar Rahimi ◽  
Mariia Danova ◽  
Olena Feoktystova ◽  
...  
Keyword(s):  
Decision Making ◽  
Network Model ◽  
Petri Net ◽  
Business Processes ◽  
Resource Constraints ◽  
Raw Materials ◽  
Central Element ◽  
Typical Food ◽  
Upper Level ◽  
Fuzzy Network

”. It is shown that in order to increase the efficiency of the functioning of complete logistical supply chains (CLSC), it is necessary to develop special methodological tools, and, on their basis, software to facilitate decision-making on the timely formation of liquid consignments at the terminal sections of the chain of liquid goods. The article describes a fuzzy network of CLSC in the form of a hierarchical two-level nested Petri net (NPN), the upper level of which reproduces the process of functioning of the focal company as the central element of the CLSC, and each of the components of the lower level of the network model is an elementary Petri net reflecting the logistic processes at the terminal sections of the CLSC production of raw materials and sale of finished products. This article also gives a description of the procedure for creating a fuzzy network model for representing information about business processes that take place during the functioning of the CLSC, taking into account the existing time and resource constraints, in the form of a NPN, which is expanded by introducing fuzzy and temporal statements. Special methods of automated decision- making on the sustainable functioning of CLSCs are described and justified in terms of making a choice on the transport mode and optimal routing. Based on the developed methodological tools, the process of forming and providing the stable functioning of the CLSC for typical food products of the grocery group, namely dried fruits, is considered.

scholarly journals EVALUATION OF THE APPLICATION OF MUNICIPAL SOLID WASTE INCINERATOR (MSWI) ASH IN CIVIL ENGINEERING USING A SUSTAINABILITY APPROACH

Detritus ◽  
2020 ◽  
pp. 113-124
Author(s):  
Setareh Seraj ◽  
Morteza Nikravan ◽  
Ali A. Ramezanianpour ◽  
Parham Zendehdel
Keyword(s):  
Decision Making ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Agricultural Soils ◽  
Raw Materials ◽  
Decision Makers ◽  
Waste Incinerator ◽  
Municipal Solid Waste Incinerator ◽  
Cement Concrete ◽  
Solid Waste Incinerator

Incineration is regarded as one of the common methods for energy recovery as well as waste reduction, due to the high amount of waste generation in major cities; for instance Tehran (7000-8000 ton/day), and lack of sufficient landfill. The proper treatment and recycling of municipal solid waste incinerator (MSWI) residual ashes is one of the challenges which decision makers are faced with. In order to investigate the feasibility of the recycling of ashes, the sustainability index is considered. This evaluation is carried out by means of the multi-criteria decision-making approach for assessing sustainability (MIVES) and the Analytical Hierarchy Process (AHP) as a conventional decision-making tool. Six possible scenarios in Iran was determined, BA/FA landfilled with solid waste system (current scenario), Partial substitute of raw materials for cement/concrete, Ceramics and glass/glass-ceramics production, Geotechnical applications, use of BA/FA as alternative adsorbent and Fertilizers in agricultural soils. The assessment was accomplished through 25 questionnaires distributed among experts which includes environmentalists, governmental decision makers, academics, and technical groups. The questionnaires comprised of 33 pairwise comparison matrices, and the experts were asked to systematically compare elements of the constructed hierarchy in numerical terms. According to the results, reusing MSWI ash as a partial substitute for raw materials in cement/concrete scored highest in ranking among other potential MSWM scenarios (with a relative weight of 0.234). The results also reveal that the utilization of BA/FA as alternative adsorbents and as fertilizers in agricultural soils are not to be currently pursued in Iran (with relative weights of 0.117 and 0.129 respectively).

Comprehensibility of Data Mining Algorithms

2011 ◽  
pp. 190-195 ◽  
Author(s):  
Zhi-Hua Zhou
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Decision Makers ◽  
Data Mining Algorithm ◽  
Human Beings ◽  
Common People ◽  
Data Mining Algorithms ◽  
Mining Algorithm ◽  
Aid Decision ◽  
Mining Algorithms

Data mining attempts to identify valid, novel, potentially useful, and ultimately understandable patterns from huge volume of data. The mined patterns must be ultimately understandable because the purpose of data mining is to aid decision-making. If the decision-makers cannot understand what does a mined pattern mean, then the pattern cannot be used well. Since most decision-makers are not data mining experts, ideally, the patterns should be in a style comprehensible to common people. So, comprehensibility of data mining algorithms, that is, the ability of a data mining algorithm to produce patterns understandable to human beings, is an important factor.

scholarly journals Variances and Logarithmic Aggregation Operators: Extended Tools for Decision-Making Processes

Mathematics ◽  
2021 ◽  
Vol 9 (16) ◽  
pp. 1892
Author(s):  
Rodrigo Gómez Monge ◽  
Evaristo Galeana Figueroa ◽  
Víctor G. Alfaro-García ◽  
José M. Merigó ◽  
Ronald R. Yager
Keyword(s):  
Decision Making ◽  
Intelligent Systems ◽  
Decision Makers ◽  
Weighted Averaging ◽  
Averaging Operators ◽  
Ordered Weighted Averaging ◽  
Decision Making Processes ◽  
Dispersion Measures ◽  
World Information ◽  
Aid Decision

Variance, as a measurement of dispersion, is a basic component of decision-making processes. Recent advances in intelligent systems have included the concept of variance in information fusion techniques for decision-making under uncertainty. These dispersion measures broaden the spectrum of decision makers by extending the toolset for the analysis and modeling of problems. This paper introduces some variance logarithmic averaging operators, including the variance generalized ordered weighted averaging (Var-GOWLA) operator and the induced variance generalized ordered weighted averaging (Var-IGOWLA) operator. Moreover, this paper analyzes some properties, families and particular cases of the proposed operators. Finally, an illustrative example of the characteristic design of the operators is proposed using real-world information retrieved from financial markets. The objective of this paper is to analyze the performance of some equities based on the expected payoff and the dispersion of its elements. Results show that the equity payoff results present diverse rankings combined with the proposed operators, and the introduced variance measures aid decision-making by offering new tools for information analysis. These results are particularly interesting when selecting logarithmic averaging operators for decision-making processes. The approach presented in this paper extends the available tools for decision-making under ignorance, uncertainty, and subjective environments.

Design of Supplier Selection Procedure in Garment Company

2014 ◽  
Vol 606 ◽  
pp. 241-245
Author(s):  
Reni Amaranti ◽  
Agus N. Supena ◽  
Agelin S. Ramadhani
Keyword(s):  
Decision Making ◽  
Supplier Selection ◽  
Business Processes ◽  
Raw Materials ◽  
Selection Process ◽  
Selection Procedure ◽  
Purchasing Department ◽  
Quality Of Products ◽  
Hierarchy Process

The purchase of raw materials is very influential for the quality of products produced in addition to the process of making the product itself. Therefore, how to choose the supplier from the available alternatives is something that must be done properly in the process of procurement of raw materials especially for companies with many product variations and associated with many suppliers. This paper discusses about how to make supplier selection procedure for garment company with a case on a medium scale garment company in Bandung that manufactures veil and Moslem fashion. Mapping of business processes using IDEF0 was the first step in designing of supplier selection procedure. Then performed an analysis of the process which is usually done to identify the weaknesses and strengths of the process. The next step is create a design of supplier selection procedure that is more structured and measurable. In addition, also designed a tool that can be used in the supplier selection process, which is a simple application to determine the ranking of suppliers who will be selected based on the criteria specified. The application is based on the decision-making process with The Analytical Hierarchy Process approach that has been commonly used as a tool for decision-making with many alternative choices. In general, the resulting procedure would be beneficial for the company as a guide for those involved in the procurement process at the purchasing department, primarily for decision making in supplier selection.

scholarly journals Spherical Fuzzy Graphs with Application to Decision-Making

2020 ◽  
Vol 25 (1) ◽  
pp. 8 ◽  
Author(s):  
Muhammad Akram ◽  
Danish Saleem ◽  
Talal Al-Hawary
Keyword(s):  
Decision Making ◽  
Mathematical Models ◽  
Real World ◽  
Fuzzy Model ◽  
Decision Makers ◽  
Mathematical Representation ◽  
Research Article ◽  
Fuzzy Graphs ◽  
Picture Fuzzy Sets ◽  
Evaluation Information

In a network model, the evaluation information given by decision makers are occasionally of types: yes, abstain, no, and refusal. To deal with such problems, we use mathematical models based on picture fuzzy sets. The spherical fuzzy model is more versatile than the picture fuzzy model as it broadens the space of uncertain and vague information, due to its outstanding feature of vast space of participation of acceptable triplets. Graphs are a mathematical representation of networks. Thus to deal with many real-world phenomena represented by networks, spherical fuzzy graphs can be used to model different practical scenarios in a more flexible manner than picture fuzzy graphs. In this research article, we discuss two operations on spherical fuzzy graphs (SFGs), namely, symmetric difference and rejection; and develop some results regarding their degrees and total degrees. We describe certain concepts of irregular SFGs with several important properties. Further, we present an application of SFGs in decision making.

Systems thinking, complexity and managerial decision-making: an analytical review

2009 ◽  
Vol 22 (2) ◽  
pp. 71-80 ◽  
Author(s):  
D G Cramp ◽  
E R Carson
Keyword(s):  
Decision Making ◽  
Systems Thinking ◽  
Decision Makers ◽  
Managerial Decision ◽  
The Public ◽  
Course Of Action ◽  
Analytical Review ◽  
Complex Decision ◽  
Systems Modelling ◽  
Aid Decision

One feature that characterizes the organization and delivery of health care is its inherent complexity. All too often, with so much information and so many activities involved, it is difficult for decision-makers to determine in an objective fashion an appropriate course of action. It would appear that a holistic rather than a reductionist approach would be advantageous. The aim of this paper is to review how formal systems thinking can aid decision-making in complex situations. Consideration is given as to how the use of a number of systems modelling methodologies can help in gaining an understanding of a complex decision situation. This in turn can enhance the possibility of a decision being made in a more rational, explicit and transparent fashion. The arguments and approaches are illustrated using examples taken from the public health arena.

Reverse logistics models for the collection of plastic waste: A literature review

2021 ◽  
pp. 0734242X2110039
Author(s):  
Juan Valenzuela ◽  
Miguel Alfaro ◽  
Guillermo Fuertes ◽  
Manuel Vargas ◽  
César Sáez-Navarrete
Keyword(s):  
Literature Review ◽  
Mathematical Models ◽  
Reverse Logistics ◽  
Solution Method ◽  
Raw Materials ◽  
Multicriteria Analysis ◽  
Plastic Waste ◽  
Mixed Integer ◽  
Continuous Variables ◽  
Linear And Nonlinear Programming

To support the understanding of recycling models applied to plastics, the main objective of this work is to offer a literature review of the different reverse logistics (RL) models for collecting plastic waste (PW). The methodology used for processing the scientific literature was content analysis, using the google scholar search engine. The main keywords used were RL and PW. This article is divided into two parts: the first part discusses the development of circular economy models and RL networks and raises the conceptual framework of the research, and the second part presents mathematical models and exploratory studies, proposed as a solution for RL problems of PW. Articles published between years 2014 and 2019 were reviewed. In total, 102 references were used, 70 of them are part of the literature review. According to our findings, we can state that the most widely used solution method for mathematical modeling is mixed-integer linear programming, and for exploratory studies, it was evaluations. About 93% of studies evaluated raw materials related to PW; only 13% of studies had models with stochastic processes; and 88% of the investigations used continuous variables, being the multiobjective functions one of the most used to provide solutions to RL problems. Regarding the mathematical models, 49% were evaluations, 9% corresponded to multicriteria analysis, 29% to linear and nonlinear programming, and 4% to another type of evaluation or model.

Sign in / Sign up

Export Citation Format

Share Document