Managing the civil service : what LDCs can learn from developed country reforms

The author examines current civil service management (CSM) practices in advanced countries to provide guidance for developing country governments that face the dilemma of how to recruit, retain, and motivate appropriately skilled staff at affordable costs, given a limited human resource base. Advanced country administrations are following two distinct paths to improving CSM. Some countries, such as the United Kingdom, are engaged insweeping"managerialist"reforms to decentralize civil service functions and make them more responsive to the client public. By introducing complex financial reporting systems, managers have increased autonomy; some functions are spun off into semi-autonomous agencies operating on an increasingly commercial basis. By contrast, other industrialized countries, such as Singapore, have retained more traditional, largely centralized civil service structures, pursuing only incremental improvements in specific aspects of CSM. The author speculates about what is likely to work best in developing country administrations: Centralized civil service management models provide the best starting point for most developing countries because decentralized agency systems require technological and human resources beyond their capabilities. Some better-endowed countries could use certain agency-type features selectively. Such administrations could establish strategic plans to move toward a fuller agency system as their institutional capabilities increase. Developing countries face trade-offs in choosing which CSM functions should be strengthened first. Two functions - personnel establishment control and staff recruitment - are essential for civil service performance and should get top priority. Senior Executive Services have proved difficult to design and implement in advanced countries, but many flaws can be corrected in adapting them to developing countries, where there is often an urgent need to groom higher-level staff. Assuming minimal, essential levels of personnel establishment and budgetary control, unified pay and classification could be relaxed in developing countries, following the lead of increasing numbers of advanced countries that have done this. Given the urgency of other CSM tasks, lower priority should be assigned to reform involving performance pay, the benefits of which have yet to be demonstrated in the public sectors of developed countries. The management requirements and costs of installingperformance pay systems can be considerable and employee resistance may subvert such efforts. But performance-related promotion systems, even if imperfectly implemented, can help move developing country civil service values toward standards of competence and merit.National Governance,Health Monitoring&Evaluation,Work&Working Conditions,Governance Indicators,Public Sector Economics&Finance

Combined make-to-order and make-to-stock in a food production system

The research into multi-product production/inventory control systems has mainly assumed one of the two strategies: Make-to-Order (MTO) or Make-to-Stock (MTS). In practice, however, many companies cater to an increasing variety of products with varying logistical demands (e.g. short due dates, specific products) and production characteristics (e.g. capacity usage, setup) to different market segments and so they are moving to more MTO-production. As a consequence they operate under a hybrid MTO-MTS strategy. Important issues arising out of such situations are, for example, which products should be manufactured to stock and which ones on order and, how to allocate capacity among various MTO-MTS products. This paper presents the state-of-the-art literature review of the combined MTO-MTS production situations. A variety of production management issues in the context of food processing companies, where combined MTO-MTS production is quite common, are discussed in details. The authors propose a comprehensive hierarchical planning framework that covers the important production management decisions to serve as a starting point for evaluation and further research on the planning system for MTO-MTS situations.

Spletna aplikacija za optimizacijo hierarhične organizacijske strukture

Background and Purpose: In a complex strictly hierarchical organizational structure, undesired oscillations may occur, which have not yet been adequately addressed. Therefore, parameter values, which define fluctuations and transitions from one state to another, need to be optimized to prevent oscillations and to keep parameter values between lower and upper bounds. The objective was to develop a simulation model of hierarchical organizational structure as a web application to help in solving the aforementioned problem. Design/Methodology/Approach: The hierarchical structure was modeled according to the principles of System Dynamics. The problem of the undesired oscillatory behavior was addressed with deterministic finite automata, while the flow parameter values were optimized with genetic algorithms. These principles were implemented as a web application with JavaScript/ECMAScript. Results: Genetic algorithms were tested against well-known instances of problems for which the optimal analytical values were found. Deterministic finite automata was verified and validated via a three-state hierarchical organizational model, successfully preventing the oscillatory behavior of the structure. Conclusion: The results indicate that the hierarchical organizational model, genetic algorithms and deterministic finite automata have been successfully implemented with JavaScript as a web application that can be used on mobile devices. The objective of the paper was to optimize the flow parameter values in the hierarchical organizational model with genetic algorithms and finite automata. The web application was successfully used on a three-state hierarchical organizational structure, where the optimal flow parameter values were determined and undesired oscillatory behavior was prevented. Therefore, we have provided a decision support system for determination of quality restructuring strategies.Ozadje in namen: V kompleksnih striktnih hierarhičnih organizacijskih strukturah se lahko pojavijo neželene oscilacije stanj, kar do sedaj še ni bilo zadovoljivo naslovljeno. Da preprečimo neželene oscilacije je potrebno optimirati vrednosti parametrov, ki določajo prehode med stanji strukture in fluktuacije iz stanj. Hkrati je potrebno obdržati vrednosti parametrov znotraj določenih meja. Cilj je bil razviti simulacijski model hierarhične organizacijske strukture v obliki spletne aplikacije, ki bi pomagal pri reševanju prej omenjenega problema. Metodologija: Hierarhična struktura je bila modelirana po principih sistemske dinamike. Problem neželenih oscilacij je bil naslovljen z uporabo determinističnega končnega avtomata, medtem ko smo vrednosti parametrov pretoka optimirali z genetskimi algoritmi. Vsi omenjeni pristopi so bili implementirani kot spletna aplikacija z JavaScript/ECMAScript programskim jezikom. Rezultati: Genetski algoritmi so bili testirani na znanih problemskih instancah za katere so znane optimalne analitične rešitve. Deterministični končni avtomat je bil verificiran in validiran na hierarhičnem organizacijskem modelu s tremi stanji, kjer smo z njegovo uporabo uspeli preprečiti oscilacije v organizacijski strukturi. Zaključek: Rezultati nakazujejo, da smo uspešno implementirali hierarhični organizacijski model, genetske algoritme in deterministični končni avtomat z JavaScript programskim jezikom v obliki spletne aplikacije, ki se lahko uporablja na mobilnih napravah. Razvito spletno aplikacijo smo uspešno uporabili na hierarhičnem organizacijski strukturi s tremi stanji, kjer smo določili optimalne parametre pretoka in fluktuacij ter preprečili neželene oscilacije stanj. S tem smo zagotovili sistem za podporo odločanju, ki omogoča določanje kakovostnih strategij za prestrukturiranje organizacij

Using fuzzy Analytic Network Process (FANP) in a SWOT Analysis

The present study aimed at using Using fuzzy Analytic Network Process FANP In a SWOT Analysis On the other hand In this research we tried to use of strengths weaknesses opportunities and threats SWOT analysis which is one of the most famous table technique in strategic planning process in identify strategic factors of organization and by discovering and identifying those factors the organization can be build strategies that in SWOT are referred to as SO ST WO and WT strategies According to internal dependencies existed in most parts of strategic planning therefore it was necessary to employ a technique which allowed us to measure its dependencies In many of decision problems was desirable that relations among factors could be imagin as like as reality word The ANP powerful instrument with fuzzy phase got to allow modeling SWOT analysis to planners organization This research was done in 2011 in Notash Afra Co which works in the field of installation of water and energy projects in Tehran The present research in terms of purpose was an applied research it was also considered as a descriptive research In this research for determining importance weight fuzzy analytic network process was used The used fuzzy method was Chang s extent analysis method EA Excel software had been used in calculations for analytic network process through using extent analysis method for determination of importance weights and MATLAB software had been used for reaching final results Research results showed that when dependence exists among SWOT factors this dependence could change weight and priority of strategy alternative and eventually WO strategy with the final weight of 0 317 was selected as the best strateg

Unattended network operations technology assessment study. Technical support for defining advanced satellite systems concepts

The results are summarized of an unattended network operations technology assessment study for the Space Exploration Initiative (SEI). The scope of the work included: (1) identified possible enhancements due to the proposed Mars communications network; (2) identified network operations on Mars; (3) performed a technology assessment of possible supporting technologies based on current and future approaches to network operations; and (4) developed a plan for the testing and development of these technologies. The most important results obtained are as follows: (1) addition of a third Mars Relay Satellite (MRS) and MRS cross link capabilities will enhance the network's fault tolerance capabilities through improved connectivity; (2) network functions can be divided into the six basic ISO network functional groups; (3) distributed artificial intelligence technologies will augment more traditional network management technologies to form the technological infrastructure of a virtually unattended network; and (4) a great effort is required to bring the current network technology levels for manned space communications up to the level needed for an automated fault tolerance Mars communications network

A greedy heuristic approach for the project scheduling with labour allocation problem

Responding to the growing need of generating a robust project scheduling, in this article we present a greedy algorithm to generate the project baseline schedule. The robustness achieved by integrating two dimensions of the human resources flexibilities. The first is the operators’ polyvalence, i.e. each operator has one or more secondary skill(s) beside his principal one, his mastering level being characterized by a factor we call “efficiency”. The second refers to the working time modulation, i.e. the workers have a flexible time-table that may vary on a daily or weekly basis respecting annualized working strategy. Moreover, the activity processing time is a non-increasing function of the number of workforce allocated to create it, also of their heterogynous working efficiencies. This modelling approach has led to a nonlinear optimization model with mixed variables. We present: the problem under study, the greedy algorithm used to solve it, and then results in comparison with those of the genetic algorithms

Aggregation of Hospital Business Processes

There are estimates that up to 30% of hospital costs are due to inefficiently coordinated hospital processes. As a result many hospitals have tried to model and to reengineer their business processes. These efforts have very often been abandoned, because the normally constructed total models of hospital processes could hardly cope with the rapid technological and medical progress as well as with changing staff. We discuss approaches for a qualitative and quantitative process modularization which improve the understanding of processes and enables better planned simulations. Various methods are discussed which allow a qualitative modularization on the basis of a disaggregated process graph. To cope with this modularization numerically simple semi-stochastic formulas are developed for the calculation of expected values and variances of cycle times and costs from micro-data up to the modular level. Thus a qualitative as well as quantitative discussion of hospital business processes on the modular level become possible.OR in health care service, graph theory, business process reengineering, stochastic processes, simulation

Manufacturing Technology Today

Manufacturing Technology Today, Manufacturing Technology Abstracts, Vol. 14, No. 4, September 2015, Bangalore, India

GEANT4 : a simulation toolkit

Abstract Geant4 is a toolkit for simulating the passage of particles through matter. It includes a complete range of functionality including tracking, geometry, physics models and hits. The physics processes offered cover a comprehensive range, including electromagnetic, hadronic and optical processes, a large set of long-lived particles, materials and elements, over a wide energy range starting, in some cases, from 250 eV and extending in others to the TeV energy range. It has been designed and constructed to expose the physics models utilised, to handle complex geometries, and to enable its easy adaptation for optimal use in different sets of applications. The toolkit is the result of a worldwide collaboration of physicists and software engineers. It has been created exploiting software engineering and object-oriented technology and implemented in the C++ programming language. It has been used in applications in particle physics, nuclear physics, accelerator design, space engineering and medical physics. PACS: 07.05.Tp; 13; 2