RANKING ENTERPRISES IN TERMS OF COMPETENCES INSIDE REGIONAL PRODUCTION NETWORK

Today\u27s economic crisis has led to bankruptcy of many successful, but usually large-sized enterprises. This brought into question the future of large-sized enterprises. However, the only alternative to largesized enterprises (LEs) is networking of small and medium-sized enterprises (SMEs) into Regional Production Networks (RPNet). RPNet is non-hierarchical organizational form in which every SME is autonomous. Hence, every SME of production network is capable and wiling to be part of special cooperation inside network called Virtual Enterprise (VE). For each new product a new virtual enterprise is formed from different SMEs. The question is: which SMEs will be part of new virtual enterprise? If it is possible to evaluate SME\u27s competences, it is also possible to rank SMEs. Ranking of SMEs according to technical, organizational and human competences is multi-criteria decision analysis (MCDA) problem. So, in this paper PROMETHEE method is selected to perform a ranking of SMEs

RANKING ENTERPRISES IN TERMS OF COMPETENCES INSIDE REGIONAL PRODUCTION NETWORK

Today\u27s economic crisis has led to bankruptcy of many successful, but usually large-sized enterprises. This brought into question the future of large-sized enterprises. However, the only alternative to largesized enterprises (LEs) is networking of small and medium-sized enterprises (SMEs) into Regional Production Networks (RPNet). RPNet is non-hierarchical organizational form in which every SME is autonomous. Hence, every SME of production network is capable and wiling to be part of special cooperation inside network called Virtual Enterprise (VE). For each new product a new virtual enterprise is formed from different SMEs. The question is: which SMEs will be part of new virtual enterprise? If it is possible to evaluate SME\u27s competences, it is also possible to rank SMEs. Ranking of SMEs according to technical, organizational and human competences is multi-criteria decision analysis (MCDA) problem. So, in this paper PROMETHEE method is selected to perform a ranking of SMEs

Optimization of the selection of competence cells in regional production network

Današnja svjetska gospodarska kriza pokazala je da uspješno poslovanje poduzeća u normalnim ekonomskim uvjetima nije garancija održivosti, tako da je kriza odvela u stečaj mnoga poslovno uspješna poduzeća, a pogotovo velika poduzeća. Ovo je dovelo u pitanje budućnost velikih poduzeća, no u isto vrijeme i otvorilo pitanje postoji li alternativa velikim poduzećima. Alternativa, dakako, postoji u umrežavanju malih i srednjih poduzeća i njihovom optimalnom odabiru u stvaranju novih virtualnih poduzeća. Ovaj se rad bavi baš navedenim problemom odabira kooperanata (kompetencijskih stanica) za određeni novonastali proizvodni proces. Pretpostavlja se da je poduzeća moguće međusobno usporediti i rangirati, što otvara prostor za optimiranje pomoću algoritma Ant Colony Optimization (ACO).The ongoing world economic crisis has shown that being a successful enterprise in normal economic conditions is not a guarantee of sustainability. So the crisis has led to bankruptcy of many successful enterprises, especially large-sized enterprises. This brought into question the future of large-sized enterprises, but at the same time raised the question whether there is an alternative to large-sized enterprises. Of course, there is an alternative in networking of small and medium-sized enterprises and their optimal selection in the creation of new virtual enterprises. This paper deals with the problem of the selection of cooperators for the new production process. It is assumed that enterprises can be mutually compared and ranked, and that makes optimization possible, using Ant Colony Optimization (ACO) algorithm

PRIKAZ I USPOREDBA SUVREMENIH ORGANIZACIJSKIH KONCEPCIJA

U radu je dan prikaz organizacijskih koncepcija koje su razvijene u nekoliko posljednjih godina, kao i njihova usporedba glede usvojenih kriterija. S obzirom da se hrvatska poduzeća nalaze u procesu privatizacije i restrukturiranja nužno je na temelju specifičnosti pojedinog poduzeća odrediti njihove optimalne strukture, kako bi opstala u sve uzburkanijim uvjetima koji vladaju na tržištu

Sustainable business solutions through lean product lifecycle management

In today\u27s process manufacturing environment, innovation is viewed as critical to sustainable growth and business profitability. While open innovation is regarded as the answer, the companies can effectively measure the return on R&D investment, have acceptable product success rates, achieve acceptable promotional effectiveness, or have visibility into their compliance risks or operational readiness for new product launches. While open innovation is an actual topic, capitalizing on the opportunity requires holistic strategy, not just increased collaboration. Companies must have repeatable, compliant and responsive business processes, global information infrastructure that provides a single source of the truth, alignment across departments and solutions that evolve without coding. With holistic strategy and supporting infrastructure, companies can consistently minimize the time to scale, improve product success rates and promotional effectiveness, and enjoy sustainable and profitable growth. With open innovation providing unlimited opportunities, the company should start to identify the best open innovation opportunity and deliver top and bottom line of the company\u27s benefits. The companies must first focus on the needs of their customer, continually minimize time to scale, eliminate waste, drive out costs and improve. These are core concepts of a Lean strategy. This paper will describe how Lean concept with PLM business strategy can leverage Lean with integrated compliance, continual improvement and other PLM best practices to increase the return on R&D investments and provide sustainable and profitable growth for business processes mainly manufacturing processes. The purpose of this paper is to review PLM approach linked to Lean concepts in order to achieve sustainable and innovative business processes with sustainable and profitable growth

Modelling of Kerf Width in Plasma Jet Metal Cutting Process using ANN Approach

In this paper Artificial Neural Network (ANN) model was developed for prediction of kerf width in plasma jet metal cutting process. Process parameters whose influence was analyzed are cutting height, cutting speed and arc current. An L18 (21x37) Taguchi orthogonal array experiment was conducted on aluminium sheet of 3 mm thickness. Using the experimental data a feed – forward backpropagation artificial neural network model was developed. After the prediction accuracy of the developed model was verified, the model was used to generate plots that show influence of process parameters and their interactions on analzyed kerf width and to get conlusions about process parameters values that lead to minimal kerf width

Optimization of the selection of competence cells in regional production network

Današnja svjetska gospodarska kriza pokazala je da uspješno poslovanje poduzeća u normalnim ekonomskim uvjetima nije garancija održivosti, tako da je kriza odvela u stečaj mnoga poslovno uspješna poduzeća, a pogotovo velika poduzeća. Ovo je dovelo u pitanje budućnost velikih poduzeća, no u isto vrijeme i otvorilo pitanje postoji li alternativa velikim poduzećima. Alternativa, dakako, postoji u umrežavanju malih i srednjih poduzeća i njihovom optimalnom odabiru u stvaranju novih virtualnih poduzeća. Ovaj se rad bavi baš navedenim problemom odabira kooperanata (kompetencijskih stanica) za određeni novonastali proizvodni proces. Pretpostavlja se da je poduzeća moguće međusobno usporediti i rangirati, što otvara prostor za optimiranje pomoću algoritma Ant Colony Optimization (ACO).The ongoing world economic crisis has shown that being a successful enterprise in normal economic conditions is not a guarantee of sustainability. So the crisis has led to bankruptcy of many successful enterprises, especially large-sized enterprises. This brought into question the future of large-sized enterprises, but at the same time raised the question whether there is an alternative to large-sized enterprises. Of course, there is an alternative in networking of small and medium-sized enterprises and their optimal selection in the creation of new virtual enterprises. This paper deals with the problem of the selection of cooperators for the new production process. It is assumed that enterprises can be mutually compared and ranked, and that makes optimization possible, using Ant Colony Optimization (ACO) algorithm

Single-objective and multi-objective optimization using the HUMANT algorithm

When facing a real world, optimization problems mainly become multi-objective i.e. they have several criteria of excellence. A multi-criteria problem submitted for multi-criteria evaluation is a complex problem, as usually there is no optimal solution, and no alternative is the best one according to all criteria. However, if a metaheuristic algorithm is combined with a Multi-Criteria Decision-Making method then, instead of submitting all solutions, only near-optimal solutions are submitted for multi-criteria evaluation, i.e. compared and ranked using a priori decision-maker preferences. It is called an a priori approach to multi-objective optimization. This paper presents this approach using a specially designed HUMANT (HUManoid ANT) algorithm derived from Ant Colony Optimization and the PROMETHEE method. The preliminary results of this optimization algorithm are presented for the Single-Objective Traveling Salesman Problem (TSP), Shortest Path Problem (SPP) and the Multi-Objective Partner Selection Problem (PSP). Additionally, the multi-objective approach of the HUMANT algorithm to single-objective optimization problems is presented using the Shortest Path Problem (SPP)

Influence of structure of manufacturing system and amount of investment on production costs

Poslovanje današnjih proizvodnih sustava u potpunosti je diktirano dinamikom tržišta te se svakodnevno javlja potreba za prilagodbom strukture i parametara proizvodnog sustava kako bi se poslovalo u što povoljnijim tehnološkim i ekonomskim uvjetima, a nerijetko je ovaj process vezan i s ulaskom u investicijski postupak. S druge strane, praksa dokazuje da je ocjena investicijskog programa pri odabiru strukture proizvodnog sustava u cilju ostvarenja planirane proizvodnje i smanjenja troškova proizvodnje često zasnovana na nedovoljnom skupu informacija, tako da se ne dobiva relevantna slika o tehno-ekonomskim efektima koji će biti posljedica investicijskog programa. U okviru članka prikazani su rezultati istraživanja koji su doveli do razvoja metodičkog pristupa analize mogućih struktura i parametara proizvodnog sustava u cilju planiranja, projektiranja ili reinženjeringa proizvodnog sustava na bazi minimalizacije troškova proizvodnje.Today’s business of manufacturing systems is entirely dictated by the dynamics of the market and every day there is a need for adjustment of the structure and parameters of associated manufacturing systems. Those adjustments should ensure the operation of manufacturing systems in more favourable manufacturing and economic conditions, and often this process is directly linked with the starting of investment process. On the other hand, every day practice proves that evaluation of investment program during selection of structure of manufacturing system with the aim to accomplish production plans and reduction of production costs is often based on insufficient sets of information. Lack of information may result in inappropriate insight into overall techno-economic effects that can be achieved by investment program. Within this paper are presented researches which resulted in development of a new systematic approach in the analysis of potential structures and parameters of manufacturing systems with the aim to plan, project or reengineer manufacturing systems on the basis of minimal production costs