Companies must manage their supply chains effectively under changing conditions in marketplace in order to be successful against their competitors. As a result of some regulations in recent years, companies are forced...
详细信息
Companies must manage their supply chains effectively under changing conditions in marketplace in order to be successful against their competitors. As a result of some regulations in recent years, companies are forced to consider the damage they cause to the environment by their supply chain activities. In this paper, a production-distribution problem, which concerns economic and environmental effects, is considered. A multi-product, multi-stage production-distribution network with different transportation alternatives is modelled in the problem. A goal programming model is proposed to support planning decisions of this production-distribution network by considering the profit of network activities and the carbon emission value caused by material and product transportation. A randomly generated set of test data was used to evaluate the effectiveness of the proposed model. The results show that the proposed model can be used as an effective tool for environmentally friendly production-distribution planning.
In the Brazilian judiciary, the Electoral Registry Offices (EROs) are responsible for managing the Brazilian electoral districts. Moreover, not only do they organize elections in their district, but they are also resp...
详细信息
In the Brazilian judiciary, the Electoral Registry Offices (EROs) are responsible for managing the Brazilian electoral districts. Moreover, not only do they organize elections in their district, but they are also responsible for managing the registration of electors and supervising the political parties. Brazil has a multi-party system with more than 35 political parties competing over the 295 cities of Santa Catarina state, which had over 4.98 million voters in 2017. In this context, we present a mixed integer model, with the concepts of goal programming and contiguity graph, to propose a more equilibrated distribution of political districts to Santa Catarina state. The mathematical model considers the political districting criteria (population balance, spatial contiguity, and compactness), and also considers the particularities of the Brazilian electoral system (minimum number of voters in an electoral district, maximum electoral zones per city, and so forth). The objective of the problem is to determine the optimum set of districts for the most efficient use of public resources and best service to the population. Therefore, there must be a balance of workload among the (EROs), i.e., a steady number of electors and nominating petitions per district. The solution proposed succeeded in presenting a set of districts with a better workload distribution while respecting all the districting criteria and the Brazilian legislation. Compared to the current situation, the model shows a reduction in the standard deviation of the electorate distribution per district of 7520 voters. The solution obtained by the proposed model for the Brazilian electoral system in the state of Santa Catarina may be used by any other of the 26 Brazilian states. The proposed model is a particularization of the classic political districting problem since it inserts complementary constraints to this classic problem from the operational research literature.
This study proposes a unique solution to resource allocation problems by combining goal programming (GP) with a qualitative forecasting model (e.g., the Delphi method) and a quantitative forecasting technique (e.g., t...
详细信息
This study proposes a unique solution to resource allocation problems by combining goal programming (GP) with a qualitative forecasting model (e.g., the Delphi method) and a quantitative forecasting technique (e.g., the Poisson gravity model). goal programming, an extension of Linear programming (LP), is a management science technique for resource allocation in multiple objective environment. Initially, in the proposed model, the Delphi is used to elicit the experts' talents to derive the objectives to be considered in resource allocation. Subsequently, a forecasting technique is utilized to predict the future values for these objectives. The information obtained from these two forecasting techniques is then used to construct a GP model. To test for its practicality, the proposed model was applied to allocate funds among different retail stores in the Atlanta retailing system to maximize an investor's revenue. First the number of shopping trips taken to different retail centers in the Atlanta area were predicted and then these forecasts were treated as goals to be achieved. These forecasted goals were subsequently used to formulate a goal programming model to allocate funds for leasing retail stores in different shopping centers within the system. The Atlanta retailing system was chosen only as an example;the proposed methodology can be applied to any resource allocation problem.
This paper proposes a methodology for obtaining a synthetic indicator to facilitate decision making in practical situations. It is based on goals provided by the users, which will be included in a synthetic indicator ...
详细信息
This paper proposes a methodology for obtaining a synthetic indicator to facilitate decision making in practical situations. It is based on goals provided by the users, which will be included in a synthetic indicator by a goal-programming approach. This methodology facilitates interpreting the values of the synthetic indicator, and thus helps in the decision-making process. We not only formulate these indicators, but also analyze their properties and apply them to the analysis of a complex concept, sustainable tourism. We use this methodology to study the case of coastal areas of Andalusia (Spain), attempting to identify the main characteristics of the different elements, their weakness and strengths. (C) 2010 Elsevier B.V. All rights reserved.
Addresses comments on a study which proposed a goal programming model for Senegalese farming. Comments on the proposed definitions; Explanation on the concepts of goals and objectives of the model; Discussion on pessi...
详细信息
Addresses comments on a study which proposed a goal programming model for Senegalese farming. Comments on the proposed definitions; Explanation on the concepts of goals and objectives of the model; Discussion on pessimistic aspiration levels and the possibility of dominated solutions in the goal programming framework.
In this paper we develop an interface between goal programming and Data Envelopment Analysis (GoDEA) in order to integrate target setting and resource allocation in multi-level planning problems. Data Envelopment Anal...
详细信息
In this paper we develop an interface between goal programming and Data Envelopment Analysis (GoDEA) in order to integrate target setting and resource allocation in multi-level planning problems. Data Envelopment Analysis (DEA) has been traditionally used for assessing the performance of individual decision making units and, therefore, necessary extensions are needed to apply DEA principles to the global organisational level without, however, losing its attractive features. The method was originally developed as an aid to the reorganisation of the allocation of central funds to local authorities in Greece.
In practice, generally the accountants are facing complex decision-making situations where they aggregate simultaneously several conflicting and incommensurable factors (dimensions). They look for the decision of the ...
详细信息
In practice, generally the accountants are facing complex decision-making situations where they aggregate simultaneously several conflicting and incommensurable factors (dimensions). They look for the decision of the best compromise. The goal programming (GP) is one of the multi-criteria decision aid models that have been applied to the field of accounting. The aim of this paper is to provide an exhaustive literature review of the GP application within the field of accounting and to propose a new typology which serves as a guideline for the accountants to identify the most appropriate variant of GP to deal with specific accounting related decision making situation.
A primary benefit of planning through computer modeling is identifying data limitations, which may assist decision-makers to prioritize additional research or modify existing inventory procedures. With goal programmin...
详细信息
A primary benefit of planning through computer modeling is identifying data limitations, which may assist decision-makers to prioritize additional research or modify existing inventory procedures. With goal programming, additional benefits can be the inclusion of subjective estimates or desires as decision criteria, portrayal of several alternative potential solutions and tradeoff relationships, and identification of severe conflicts between certain goals that have an overriding influence on solutions. In this study, goal programming was used for multiple land use planning on 16,000 acres in the southern Sierra Nevada of California. The mountainous terrain contained coniferous forests, brushfield, and meadows interspersed with streams, lakes, and rocky barrens. Land uses evaluated were outdoor recreation, timber and livestock production, and deer population management in conjunction with three alternative proposals for development of a winter-sports facility. The goal model assessed production tradeoffs for the various land uses associated with changing managerial priorities and indicated an optimal development strategy. goal programming proved to be an effective, flexible technique for multiple land use planning.
A methodology is developed to estimate empirically the weights for a multiple-goal objective function of Senegalese subsistence farmers. The methodology includes a farmer-oriented goal preference survey and an applica...
详细信息
A methodology is developed to estimate empirically the weights for a multiple-goal objective function of Senegalese subsistence farmers. The methodology includes a farmer-oriented goal preference survey and an application of a multidimensional scaling technique to the survey data. A comparison of model performance under the multiple-goal objective function with a profit-maximization objective function does not indicate that there are distinct advantages to using either function. [ABSTRACT FROM AUTHOR]
A multi-objective model has been applied for optimal allocation of water from limited resources to meet increasing demands in multiple sectors. The study region is Saudi Arabia, while the time span is from 2020 to 205...
详细信息
A multi-objective model has been applied for optimal allocation of water from limited resources to meet increasing demands in multiple sectors. The study region is Saudi Arabia, while the time span is from 2020 to 2050 with interval of 10 years. The available water resources in Saudi Arabia are groundwater (GW), surface water (SW), desalinated water (DW) and treated wastewater (TWW), whereas the users are domestic, agricultural and industrial sectors. The goal programming technique has been used to formulate the model with multiple objectives. These objectives are (1) water demands satisfaction;(2) water quality control;(3) maximizing allocation of SW and TWW;and (4) minimizing extraction of GW, overproduction of DW and overall cost of water use. Allocations of GW, SW and DW in domestic sector are 508.4, 225.7 and 2174.2 MCM, respectively, in 2020, which are projected to be 585.3, 349.1 and 4494.8 MCM, respectively, in 2050. From 2020 to 2050, contribution of GW and SW in agricultural sector may reduce from 10,283.5 and 218.7 MCM to 8753 and 95.2 MCM, respectively, while this reduction is recovered by increasing contribution of TWW from 2291.9 in 2020 to 3945.8 MCM in 2050. During this period, contribution of GW in industrial sector shows increasing rate of approximately 171 MCM per year. Water quality is controlled through controlling the level of total dissolved solids to the standards. Production of DW and TWW has to be increased in order to meet the future needs. The total cost of using water is estimated as 13 billion US$ in 2020, which is predicted to be 22 billion US$ in 2050. This study attempted to suggest the possible scenarios to satisfy increasing water demands from limited resources in different regions of Saudi Arabia. Such scenarios can contribute in developing sustainable strategies for water resources management in water deficit regions.
暂无评论