Emberi erőforrás menedzsment és gyakorlatai a lean termelésben – a tevékenységmenedzsment irodalmának tükrében = Human resource management and practices in lean manufacturing – review of Operations Management’s literature

A lean bevezetése nem korlátozódik a termelés újraértelmezésére, hanem jellemzően a vállalati belső működés (számvitel, emberi erőforrás, beszerzés) és külső kapcsolatok (beszállítók, ellátási lánc) újszervezését is megköveteli. Ezek a kapcsolódási pontok számos, tudományterületek határán fekvő kutatási irányt nyitnak meg. Ebben a tanulmányban a lean termelés és a belső működéshez sorolt emberi erőforrás menedzsment kapcsolatára fókuszálok. Célom, hogy a tevékenységmenedzsment vonatkozó irodalmának áttekintésével bemutassam a lean termelés logikájához illeszkedő emberi erőforrás menedzsmentet, annak jellemző gyakorlatait. = Lean goes beyond manufacturing, implementing its principles usually requires companies to reorganize their companywide internal operations (accounting, human resource, purchasing) and also external relations (supplier, supply chain). This linkages offer several multidisciplinary research directions, this study focuses on the relationship between human resource management and lean production. The main aim of this working paper is to review Operations Management’s literatures on this issue and present the human resource policy and its practices that fit and support lean production.

Szervezeti kultúra kutatások a termelési folyamatok szervezésében – irodalom-feldolgozás = Organizational culture researches on the filed of operations management – a literature review

A műhelytanulmány célja, hogy megalapozzon egy, a lean menedzsment és a szervezeti kultúra kapcsolatát vizsgáló empirikus kutatást. Máig ritka a szűken vett témában született publikációk száma, ezért tanulmányunkban olyan forrásokat dolgozunk fel, amelyek a lean menedzsmenten túl a termelésmenedzsment más koncepcióit, gyakorlatait (minőségmenedzsment és a fejlett termelési rendszerek), az általuk elérhető teljesítmény és a szervezeti kultúra kapcsolatát értelmezi, vagy vizsgálja. A források módszeres áttekintésével azonosítjuk a kutatásokat indokoló tényezőket, az érintett termelésmenedzsment koncepciók értelmezéseit, a szervezeti kultúra értelmezéséket és a kutatási eredményeket. Mindezek alapján bemutatjuk, hogy melyek lehetnek azok a kérdések, melyek egy, a szervezeti kultúra és a lean menedzsment kapcsolatát vizsgáló empirikus kutatás során figyelmet érdemelnek. Bemutatjuk továbbá, hogy milyen egyéb tényezőkre kell figyelemmel lenni egy ilyen kutatás tervezése során. Önmagában a lean menedzsment, mint téma újszerű a szervezeti kultúrával kapcsolatos kutatások területén. Ezen túl a nagymintás és az angolszász területeken kívül eső kutatások kecsegtetnek jelentős új ismerettel. További újdonságot jelente a termelésmenedzsment koncepció és a szervezeti kultúra kapcsolatának megragadásán túl a kapcsolat természetének (a hatás irányának) feltárása. ______ The aim of this paper is to provide a solid base for a study that would examine the relationship between lean management and organizational culture. Since there are only limited number of publications in this topic, in our study we examined publications, which interpreted or examined the relationship among organizational culture, organizational performance and - beyond lean management - any operations management concepts or practices (but mainly quality management and advanced manufacturing technologies). Rigorously reviewing the selected sources, we identified the main questions justifying the researches, interpretations of the involved operations management concepts, interpretations of organization culture, and research results. Based on our review, we highlight those questions that are worth to examine within a research targeting to study the relationship between the organizational culture and lean management. Moreover, we identified other important factors to be considered when designing such research. Lean management by itself a novelty in the research field related to organizational culture. Moreover, large sample studies conducted outside the Anglo-Saxon territory likely to bring notable novelty. Further new knowledge may emerge if beyond capturing the existence of relationship among organizational culture and any operations management concept the nature of the relationship (the direction of the influence) was also investigated.

The efficiency of remanufacturing in a dynamic input–output model

For industrialised economy of ourdays, remanufacturing represents perhaps the largest unexploited resource and opportunity for realising a greater growth of the economy in an environmental-conscious manner. The aim of this paper is to investigate of the impact of remanufacturing in the economy from an economic-efficiency point of view. In static context this phenomenon was analysed in the literature. We use the multi-sector input–output framework in a dynamic context to study intra-period relationships of the sectors of economy. We extend the classical dynamic input–output model taking into consideration the activity of remanufacturing .We try to answer the question, whether the remanufacturing/reuse increases the growth possibility of an economy. We expose a sufficient condition concerning the effectivity of an economy with remanufacturing. By this evaluation we analyse a possible sustainable development of the economy on the basis of the product recovery management of industries.

On the implementation of the L-Nash bargaining solution in two-person bargaining games

The “Nash program” initiated by Nash (Econometrica 21:128–140, 1953) is a research agenda aiming at representing every axiomatically determined cooperative solution to a game as a Nash outcome of a reasonable noncooperative bargaining game. The L-Nash solution first defined by Forgó (Interactive Decisions. Lecture Notes in Economics and Mathematical Systems, vol 229. Springer, Berlin, pp 1–15, 1983) is obtained as the limiting point of the Nash bargaining solution when the disagreement point goes to negative infinity in a fixed direction. In Forgó and Szidarovszky (Eur J Oper Res 147:108–116, 2003), the L-Nash solution was related to the solution of multiciteria decision making and two different axiomatizations of the L-Nash solution were also given in this context. In this paper, finite bounds are established for the penalty of disagreement in certain special two-person bargaining problems, making it possible to apply all the implementation models designed for Nash bargaining problems with a finite disagreement point to obtain the L-Nash solution as well. For another set of problems where this method does not work, a version of Rubinstein’s alternative offer game (Econometrica 50:97–109, 1982) is shown to asymptotically implement the L-Nash solution. If penalty is internalized as a decision variable of one of the players, then a modification of Howard’s game (J Econ Theory 56:142–159, 1992) also implements the L-Nash solution.

Pairwise comparison matrices and the error-free property of the decision maker

Pairwise comparison is a popular assessment method either for deriving criteria-weights or for evaluating alternatives according to a given criterion. In real-world applications consistency of the comparisons rarely happens: intransitivity can occur. The aim of the paper is to discuss the relationship between the consistency of the decision maker—described with the error-free property—and the consistency of the pairwise comparison matrix (PCM). The concept of error-free matrix is used to demonstrate that consistency of the PCM is not a sufficient condition of the error-free property of the decision maker. Informed and uninformed decision makers are defined. In the first stage of an assessment method a consistent or near-consistent matrix should be achieved: detecting, measuring and improving consistency are part of any procedure with both types of decision makers. In the second stage additional information are needed to reveal the decision maker’s real preferences. Interactive questioning procedures are recommended to reach that goal.

A simplified implementation of the least squares solution for pairwise comparisons matrices

This is a follow up to "Solution of the least squares method problem of pairwise comparisons matrix" by Bozóki published by this journal in 2008. Familiarity with this paper is essential and assumed. For lower inconsistency and decreased accuracy, our proposed solutions run in seconds instead of days. As such, they may be useful for researchers willing to use the least squares method (LSM) instead of the geometric means (GM) method.

A method for solving LSM problems of small size in the AHP

The Analytic Hierarchy Process (AHP) is one of the most popular methods used in Multi-Attribute Decision Making. It provides with ratio-scale measurements of the prioirities of elements on the various leveles of a hierarchy. These priorities are obtained through the pairwise comparisons of elements on one level with reference to each element on the immediate higher level. The Eigenvector Method (EM) and some distance minimizing methods such as the Least Squares Method (LSM), Logarithmic Least Squares Method (LLSM), Weighted Least Squares Method (WLSM) and Chi Squares Method (X2M) are of the tools for computing the priorities of the alternatives. This paper studies a method for generating all the solutions of the LSM problems for 3 × 3 matrices. We observe non-uniqueness and rank reversals by presenting numerical results.

Solution of the Least Squares Method problem of pairwise comparison matrices

The aim of the paper is to present a new global optimization method for determining all the optima of the Least Squares Method (LSM) problem of pairwise comparison matrices. Such matrices are used, e.g., in the Analytic Hierarchy Process (AHP). Unlike some other distance minimizing methods, LSM is usually hard to solve because of the corresponding nonlinear and non-convex objective function. It is found that the optimization problem can be reduced to solve a system of polynomial equations. Homotopy method is applied which is an efficient technique for solving nonlinear systems. The paper ends by two numerical example having multiple global and local minima.

On pairwise comparison matrices that can be made consistent by the modification of a few elements

Pairwise comparison matrices are often used in Multi-attribute Decision Making forweighting the attributes or for the evaluation of the alternatives with respect to a criteria. Matrices provided by the decision makers are rarely consistent and it is important to index the degree of inconsistency. In the paper, the minimal number of matrix elements by the modification of which the pairwise comparison matrix can be made consistent is examined. From practical point of view, the modification of 1, 2, or, for larger matrices, 3 elements seems to be relevant. These cases are characterized by using the graph representation of the matrices. Empirical examples illustrate that pairwise comparison matrices that can be made consistent by the modification of a few elements are present in the applications.

CVaR minimization by the SRA algorithm

Using the risk measure CV aR in �nancial analysis has become more and more popular recently. In this paper we apply CV aR for portfolio optimization. The problem is formulated as a two-stage stochastic programming model, and the SRA algorithm, a recently developed heuristic algorithm, is applied for minimizing CV aR.

Viable solutions to nonautonomous inclusions without convexity

The existence of viable solutions is proven for nonautonomous upper semicontinuous differential inclusions whose right-hand side is contained in the Clarke subdifferential of a locally Lipschitz continuous function.

Generalized correlated equilibrium for two-person games in extensive form with perfect information

A correlation scheme (leading to a special equilibrium called “soft” correlated equilibrium) is applied for two-person finite games in extensive form with perfect information. Randomization by an umpire takes place over the leaves of the game tree. At every decision point players have the choice either to follow the recommendation of the umpire blindly or freely choose any other action except the one suggested. This scheme can lead to Pareto-improved outcomes of other correlated equilibria. Computational issues of maximizing a linear function over the set of soft correlated equilibria are considered and a linear-time algorithm in terms of the number of edges in the game tree is given for a special procedure called “subgame perfect optimization”.

A Dynamic Input-Output Model with Renewable Resources

The paper studies a generalisation of the dynamic Leontief input-output model. The standard dynamic Leontief model will be extended with the balance equation of renewable resources. The renewable stocks will increase regenerating and decrease exploiting primary natural resources. In this study the controllability of this extended model is examined by taking the consumption as the control parameter. Assuming balanced growth for both consumption and production, we investigate the exhaustion of renewable resources in dependence on the balanced growth rate and on the rate of natural regeneration. In doing so, classic results from control theory and on eigenvalue problems in linear algebra are applied.

Regression games

The solution of a TU cooperative game can be a distribution of the value of the grand coalition, i.e. it can be a distribution of the payo (utility) all the players together achieve. In a regression model, the evaluation of the explanatory variables can be a distribution of the overall t, i.e. the t of the model every regressor variable is involved. Furthermore, we can take regression models as TU cooperative games where the explanatory (regressor) variables are the players. In this paper we introduce the class of regression games, characterize it and apply the Shapley value to evaluating the explanatory variables in regression models. In order to support our approach we consider Young (1985)'s axiomatization of the Shapley value, and conclude that the Shapley value is a reasonable tool to evaluate the explanatory variables of regression models.

Solving the Least Squares Method problem in the AHP for 3 X 3 and 4 X 4 matrices

The Analytic Hierarchy Process (AHP) is one of the most popular methods used in Multi-Attribute Decision Making. The Eigenvector Method (EM) and some distance minimizing methods such as the Least Squares Method (LSM) are of the possible tools for computing the priorities of the alternatives. A method for generating all the solutions of the LSM problem for 3 × 3 and 4 × 4 matrices is discussed in the paper. Our algorithms are based on the theory of resultants.