A management planning model for the delivery of family planning services

A management planning model for the delivery of family planning services is presented. Markovian probabilistic properties have been adapted for projecting patient flow for a set of various alternative strategies for scheduling patient visits in a health care system. By quantitatively formulating the scheduling problem in terms of pertinent inputs, management objectives and imposed restrictions, optimization of patient flow in the system for efficient utilization of health care resources is achieved through standard linear programming techniques.     

Towards a responsive-sustainable-resilient tea supply chain network design under uncertainty using big data

Nowadays, issues such as limited natural resources, environmental problems, social matters, and significance of resilience in agricultural supply chain (ASC) have dragged considerable attention worldwide. In this research, a five-level multi-objective stochastic mixed-integer linear programming model is designed for tea supply chain (TSC) in Iran. The objective functions of the suggested network are minimizing total costs of the supply chain (SC), the total water consumption, and non-resilience measures, and maximizing job opportunities of facilities. Literally, considering uncertainty for SC networks is extremely beneficial due to the existence of some variations in different parameters like demand. As a consequence, a robust possibilistic optimization (RPO) is implemented to manage the uncertainty. Due to the nature of the multi-objective optimization problem, the weighted-normalized-extended goal programming (WNEGP) approach is employed to solve the model. In order to credit the model, real data is collected from the tea organization of Iran. It is worth mentioning that parameters are gathered according to three aspects of big data: volume, velocity, and variety. The results validated the functionality of the model regarding planning strategy. In addition, it showed applying more costs on SC triggers an effective sustainable-resilient-responsive network. In terms of managerial insights, this study offers a far-reaching perspective to managers especially in ASC to develop their industries. Finally, some sensitivity analyses are discussed on key parameters such as demand, robustness coefficients, and also the value of the objective functions in various states. It is worth mentioning that sensitivity analyses on different states of the problem show how sustainability and resiliency affect the supply chain efficiency.     

A proactive approach to supply chain risk management: Shifting orders among suppliers to mitigate the supply side risks

Globalization, e-trade, advanced technologies and emerging production techniques have increased supply chains’ efficiency and added value. However, despite numerous advantages, these factors make supply chains more fragile and vulnerable to risks. For this reason, companies that perform supply chain risk management gain competitive advantage. In the past, supply chain managers mainly focused on reducing costs; but recently, they have begun to give importance to supply chain continuity and resiliency which have significant impacts on costs as well. Hence, conventional reactive planning has given way to proactive planning in supply chain risk management. In this study, the supply chain risk management process is investigated and a procedure is proposed in the risk mitigation phase. In the first stage of the proposed procedure, an initial procurement plan is obtained via a linear programming model, considering the cost criterion as the first priority. In the second stage, this plan is revised by including the risk criterion into the planning as the second priority. The aim of this procedure that enables proactive planning is to reduce the supply side risks. The model is tested with a hypothetical data set and the cost analysis is performed to evaluate the performance of the procedure. Finally, the whole supply chain risk management process including the proposed procedure is applied to an international automotive company.     

Human Resource Management and the Permeable Organization: The Case of the Multi‐Client Call Centre*

ABSTRACT Despite the interest over recent years in the fragmentation of organizations and the development of contracting, little attention has been paid to the impact of the associated inter‐organizational relationships on the internal organization of employment. Inter‐organizational relations have been introduced primarily as a means of externalizing – and potentially rendering invisible – employment issues and employment relations. In a context where inter‐organizational relationships appear to be growing in volume and diversity, this constitutes a significant gap in the literature that this paper in part aims to fill. The purpose of the paper is two‐fold: to develop a framework for considering the internal and external organizational influences on employment and to apply this framework within a case study of a multi‐client outsourcing call centre. We explore the interactions between internal objectives, client demands and the use of external contracting in relation to three dimensions of employment policy: managing the wage‐effort bargain, managing flexibility and managing commitment and performance. It is the interplay between these factors in a dynamic context that provides, we suggest, the basis for a more general framework for considering human resource policy in permeable organizations.     

A technique using analytical hierarchy process in multiobjective planning models

Social and economic planning usually includes the need to consider and reconcile multiple, conflicting objectives. A number of multiple objective planning models have been proposed, using goal programming as well as other multiple objective techniques. Goal programming provides a useful tool which quickly provides a solution matching the set of ranked objective targets provided, but does not provide much exploratory analysis of planning problems. Other techniques have been used which provide generation of new alternatives for consideration, but these other techniques often are limited to original model extreme points. This paper presents an alternative means of generating planning alternatives, utilizing Analytic Hierarchy Process as a means of obtaining a good starting point, and imposition of objective attainment levels through constraints. The proposed process provides a means of decision maker learning, easily allows adjustment of objective attainment levels and is not limited to the original model extreme points.     

A goal programming model for achieving racial balance in public schools

This paper develops a goal programming model for achieving racial balance in segregated public schools. The model is illustrated and offered as an improvement upon linear programming, a model previously applied in the literature which allows a single objective function only and, in comparison with goal programming, requires more variables and constraints. Goal programming, a member of the general multiple objective linear programming (MOLP) model, improves upon these among other disadvantages thereby emerging as a more efficient tool for student assignment problems.     

A chance-constrained multiobjective model for mental health services planning.

Mental health services planning, and particularly the planning for deinstitutionalization, is a very complex problem. This paper suggests a chance-constrained goal programming (CCGP) approach to mental health services planning. The CCGP approach is based on the sequential solution of a linear programming formulation, allowing efficient solution of large-scale planning problems using commercially available linear programming computer codes. The procedure is demonstrated with a case example and implementation of the approach is discussed.     

Linear programming,busing and educational administration

Linear programming and other operations research techniques have been used to assist school administrators and planners in assigning students to schools to achieve racial balances. A linear programming approach to the school busing problem is analyzed in some detail. Six different linear programming models allow examination of the effects of changes in the parameters of the models upon assignment of students. Various ways in which school officials may use the solutions to the models and the postoptimality analysis of the models for educational planning are discussed.     

Building,coding and programming 3D models via a visual programming environment

This paper presents the findings of a study conducted in the state-funded Infant, Primary and Secondary School Santísima Trinidad in Salamanca. The main objectives of the research were, to evaluate the use of the visual programming environment, Lego Education WeDo, in natural science and to know the benefits of the use of this tool to teach abstract concepts, solve problems and motivate students. In order to achieve these objectives, we used the case study method since we focused on individuals who represented the phenomenon of our interest, and explored and investigated in depth the phenomenon in its natural context bounded by time and space. In the research were involved a teacher and fifty-two students of 4th grade of primary education. The study found that the project developed was effective to help students to achieve the learning objectives of the unit, and also to begin building, coding and programming 3D models. The research showed the teacher’ fundamental role as a guide and students’ active role as builders, programmers, or presenters. There were evidences of the possibilities offered to acquire the skills of critical thinking, creative thinking, problem solving, reflection, collaboration, communication, and time management. Due to the positive results obtained in this study, it is recommended to incorporate computational thinking in primary education and in core content areas since it is fundamental in the current society.     

Organizing innovation projects under technological turbulence

Research on the organization of innovation projects suggests that increased project flexibility is a common reaction to high levels of technological turbulence. However, existing definitions of project flexibility are inconsistent and sometimes unclear, and empirical evidence is limited. This article makes an important distinction between flexible project planning and flexible project specifications. A negative relationship is found between flexible project planning and innovation project performance, whereas flexible product specifications are found to contribute positively.This article also examines how technological turbulence contributes to the choice of flexible or inflexible strategies. Technological turbulence can be present in the external environment or can be internal to the firm, when radically new products are developed. The findings suggest that when businesses perceive technological turbulence in the environment they are more likely to adopt flexible approaches to innovation in an attempt to adapt to external pressures. In technologically innovative projects, product specifications are likely to remain fixed while project organization is likely to be adapted to the needs of the project.Taken together, the findings suggest that innovation projects should maintain stable organization, schedules and budgets, but stay flexible about product specifications. Vigilance with regards to external and internal conditions of technological turbulence, which may lead organizations to be more flexible in terms of project planning, is needed.     

Joint production national income definitions and pricing in linear environmental models

Economic activity is explicitly modelled as a set of joint production processes encompassing the generation of environmental pollution. Particular results of Leontief, generalized by Lowe, which would finance environmental protection through a number of tax or pricing schemes, are shown to be inconsistent with strictly correct definitions of national income. Qualified use of linear joint production environmental models is accepted, where these use efficiency prices and recognize data limitations. Such models can aid understanding of the costs, in terms of other goods and services foregone, of attaining particular standards of environmental protection.     

Arbitrage, linear programming and martingales¶in securities markets with bid-ask spreads

In a general, finite-dimensional securities market model with bid-ask spreads, we characterize absence of arbitrage opportunities both by linear programming and in terms of martingales. We first show that absence of arbitrage is equivalent to the existence of solutions to the linear programming problems that compute the minimum costs of super-replicating the feasible future cashflows. Via duality, we show that absence of arbitrage is also equivalent to the existence of underlying frictionless (UF) state-prices. We then show how to transform the UF state-prices into state-price densities, and use them to characterize absence of arbitrage opportunities in terms of existence of a securities market with zero bid-ask spreads whose price process lies inside the bid-ask spread. Finally, we argue that our results extend those of Naik (1995) and Jouini and Kallal (1995) to the case of intermediate dividend payments and positive bid-ask spreads on all assets.     

Street-lighting projects selection: A rational decision making approach

The study presented in this paper represents a new and fresh approach to the problem of efficiently and optimally allocating scarce resources in the provision of public services—namely, street-lighting. The methodology developed is aimed at introducing more systematic and rational thinking in a way which is both technically and politically feasible. To the best of the author's knowledge, the study presents, for the first time, a procedure for the comprehensive quantitative estimate of the utility accruing from street-lighting. The utility value derived from each street-lighting project depends upon several factors, some of which can be technically assessed and others estimated only by subjective values.

In order to deduce the subjective values, the Delphi method was employed. This method permits derivation of subjective values for groups of interviewees whose assessments may reasonably be assumed to be crucial in determining the relative values of the objectives of the utility function. Those components of the utility function representing subjective values were identified and estimated.

The conventional practice, whereby residents have no explicit say in the planning of the lighting system in their city, was abandoned. Residents' value judgements concerning the relative importance of the objectives to be gained by the lighting system were incorporated into the planning process. An optimization model based on an integer programming algorithm was employed because it permits periodic (e.g. annual) selection of a set of indivisible projects to be realized during a given period. This enables maximum economic and social utility to be derived, subject to budgetary and technological constraints.

The selection process was extended and deepened so as to render it sensitive to benefit from economies of scale and external economies. The optimization process was carried out with the use of an IBM-MPS X (an integer programming algorithm). The methodology was applied to a large and diverse quarter in the city of Jerusalem that is divided into seven semi-homogeneous neighborhoods—in terms of their physical as well as their socio-economic and demographic characteristics. This represents a very different approach when compared to the conventional way in which the planning design and installation of street-lighting projects are currently carried out.     

A goal programming model for the siting of multilevel EMS systems.

Facility siting models known as location covering techniques have proven to be useful particularly for emergency medical services (EMS) planning, given the importance of ambulances responding to demand within some maximum time constraint. These models represent a set of methods which focus the health planner's attention on the access of people to health care, since they attempt to “cover” people in need of service within some specified time standard.This research develops a technique for the locational planning of sophisticated EMS systems, characterized by multiple levels of emergency health services. Specifically, a two-tiered system with “basic life support” and “advanced life support” capabilities is modeled as a goal program.By applying location covering techniques within a goal programming framework, this study develops a method for the siting of multilevel EMS systems so that (1) each service level maximizes coverage of its own demand population, and (2) “back-up” coordination between levels is assured. The usefulness of this goal program as a health planning tool is evidenced in the model's explicit articulation of EMS policy objectives and its ability to link system levels in terms of “goal-directed behavior”. The working of this multilevel covering model is demonstrated by reference to EMS planning scenarios and related numerical examples.     

Integrated manufacturing/distribution planning decisions with multiple imprecise goals in an uncertain environment

This work presents a possibilistic linear programming (PLP) method for solving the integrated manufacturing/distribution planning decision (MDPD) problems with multiple imprecise goals in supply chains under an uncertain environment. The imprecise PLP model designed here aims to simultaneously minimize total net costs and total delivery time with reference to available supply, capacities, labor levels, quota flexibility and cost budget constraints at each source, as well as forecast demand and warehouse space at each destination. The proposed method achieves greater computational efficiency by employing the simplified triangular distribution to represent imprecise numbers. An industrial case is used to demonstrate the feasibility of applying the proposed method to a real MDPD problem. Overall, the proposed PLP method provides a practical means of solving the multi-objective MDPD problems in an uncertain environment, and can effectively improve manufacturer/ distributor relationships in a supply chain.     

A Survey of Transparency: An Intrinsic Aspect of Business Strategy

Well‐managed organizations must handle transparency strategically, but although research about transparency constitutes a great concern in businesses, management, society, and ethics, definitions are very diverse depending on the environment. The concept of transparency is revisited in this contribution, aiming to map the territory of transparency by surveying the terms and definitions in literature. The overview of these terms identifies two approaches of analysis: according to the content and according to the context. According to the context, two perspectives have been found: collective perspective and individual perspective. According to the content of the definition, two perspectives have been found: instrumental perspective and purposeful perspective. This survey helps to determine that transparency is an intrinsic aspect of business strategy since it is interweaved with all organizational components and systems of the strategic management process. Copyright © 2016 John Wiley & Sons, Ltd and ERP Environment     

Economic interpretations of DEA

Research on productive efficiency at the firm level has developed as an important and active strand of research the last decades, both within operations research, management science and economics. Two apparently different definitions of efficiency are examined, but it is shown that when both estimation methods are based on solving linear programming problems the definitions of efficiency are identical. The purpose of the paper is to give the basic ideas of efficiency analyses using DEA as a tool for researchers not so familiar with efficiency analysis and DEA. The concept of shadow prices is given special attention.     

A note on distribution analysis in a linear programming model

A linear programming model is used to examine the correspondence between population projections for the provinces and projections for production sectors in Sweden. Furthermore the model is used for analyzing the conflict between the two objectives – regional equality in per capita income and minimal investment requirements. The calculations of the model show that it is possible simultaneously to attain the production targets for the sectors and the population targets for the provinces. The cost in terms of investment resources for a reduction of the difference in regional income is comparatively modest at the beginning of the equalization process bu the cost increases sharply as the equalization process proceeds. Finally a comparison is made with an extended dynamized version of the model also including transportation costs.     

The effects of marginal changes of ownership on multi-level objectives in corporate groups

Changes in the intra-group linkages affect the ownership of members of the group by their parents and can have different effects on the various objectives of the group. This paper shows how one can use the standard formula for calculating ownership in a group of companies to derive a linear approximation to the marginal changes in the group structure as the result of changes in intra-group linkages. These marginal effects can be used in linear multi-objective and/or decentralized planning systems in the group. An example is provided on some tax-planning effects of marginal changes of intra-group ownership.