This paper studies (R, s, S) inventory policy, one of the standard inventory management models in modern supply chains. Extensive numerical simulations and symbolic regression analysis of a supply ...chain echelon were performed to determine relations and equations needed for efficient planning and optimising of transport activities related to inventory replenishments.
Proposed equations for average order size and required number of orders are tested on 139.500 simulation experiments and determined with R2 goodness of fit and Correlation Coefficient higher than 0.99. Study results represent a decision support tool for optimisations of economic and environmental performance needed for sustainable inventory management.
With the increasing environmental concerns and legislative pressures, the focus on incorporating ecologically sustainable practices into inventory management systems has grown, leading to the ...emergence of green inventory management. However, this field is not without its challenges, with numerous conflicting real-world constraints and goals. A comprehensive literature review targeting green inventory management operating under a periodic review inventory system was conducted to identify research gaps and potential directions for future research. Despite the growing interest in the field, this review highlighted the scarcity of relevant studies. Out of the 1272 papers reviewed, only 16 studies, or 1.3%, met the criteria for exploring periodic review inventory systems while simultaneously considering environmental and economic aspects. These studies were further analyzed in detail and categorized according to key classification criteria. The future research directions highlighted the need for additional studies on periodic review inventory systems operating under stochastic market demand in the context of green supply chain management. The standardization of emission calculation methodologies was also emphasized as a crucial step towards aligning inventory management practices with the aim of increasing inventory management efficiency and the related improvement in the environmental performance of supply chains.
The decision to introduce new process equipment is always a complex and risky process. An important competitive advantage in the automotive industry is the integration of new process equipment into ...the production system using different decision-making models composed of measurable key indicators, scientific methods and empirical values, study defines a multi-criteria model based on various scientific sources combined with extensive manufacturing experience, which is an important tool for making quality decisions when introducing new equipment or technology. The study considers five main areas of indicators and characteristics: internal, external, financial, knowledge level, and other important indicators. By applying the Delphi method, the importance of the indicators is defined by multidisciplinary experts and the order of each characteristic is determined, which is then prioritized using MCDM methods to select the final solution. The paper presents the model definition and a practical application of the model to the castings manufacturing in the automotive industry.
Središnji dio pregleda ovog članka su strateške metode predstavljene s dvije najznačajnije matrice: ADL i DPM. Velike kompanije su obično sastavljene od strateških poslovnih jedinica s različitim ...proizvodnim i marketinškim programom. Cilj ovog članka je naglašavanje poželjne sinergije analize portfelja na tržišni rast tvrtke, suparničke odnose i buduće poslovno planiranje.
U ovom doktorskom radu razvijena je integralna metoda optimalnog upravljanja zalihama modernih dobavljačkih lanaca. Klasificirani su utjecajni čimbenici sustava upravljanja zalihama i to: model ...potražnje za proizvodima, sinkroniziranost radnog vremena, takt dobave proizvoda, minimalna veličina narudžbe i stav poslovnog sustava prema nedostatku traženih proizvoda. Temeljem klasificiranih čimbenika sustava upravljanja zalihama, određeni su čimbenici kvantifikacije pokazatelja sustava upravljanja zalihama i to: minimalan potreban broj dobava, prosječna veličina dobave, prosječna dnevna razina zaliha, koeficijent efekta biča, rizik naknadne dobave prvotno neisporučenih proizvoda, propuštena prodaja, troškovi sustava upravljanja zalihama bez popusta i troškovi sustava upravljanja zalihama s popustima. Novorazvijena metoda optimalnog upravljanja zalihama dobavljačkih lanaca dokazana je na 960 simulacijskih eksperimenata sustava upravljanja zalihama kojima su potvrđene sve tri
hipoteze odnosno, (I) odabir strategije upravljanja zalihama dobavljačkog lanca može značajno utjecati na poslovne pokazatelje dobavljačkog lanca s potencijalno velikim prednostima prilikom odabira optimalne strategije, (II) da će se uz jednaku prosječnu potražnju, povećanjem kaotičnosti potražnje povećati i opterećenje sustava upravljanja zalihama i dobavljačkog lanca
u cijelosti, te (III) da postojeći modeli, jednadžbe i algoritmi za određivanje potrebnih zaliha nisu dovoljno točni čime se smanjuje učinkovitost i povećavaju troškovi dobavljačkog lanca vezani za upravljanje zalihama.
An integral method for optimal modern supply chain management has been developed in this thesis. Influential factors of supply chain management have been classified as: model of product demand, synchronicity of working time, delivery time, minimal order quantity and implementation of backlogging procedures. Based on classified factors of inventory management, quantified factors of inventory management have been determined as: minimal number of deliveries, average size of delivery, average inventory level, coefficient of bullwhip effect, risk of delivery of backlogged products, lost sales, inventory management costs without discounts and inventory management costs with discounts.
The new method of optimal inventory management in supply chains has been tested on 960 simulation experiments of inventory management system which confirmed all three hypotheses: (I) selection of supply chain inventory management strategy can have a significant influence on business performance indicators of the supply chain with potentially significant
benefits when choosing an optimal strategy, (II) with the same average demand, increased demand uncertainty will increase the load on inventory management system and supply chain as a whole and (III) existing models, equations and algorithms for determining required inventory levels are not sufficiently accurate thereby, by using them companies risk reduced efficiency and increased supply chain costs related to inventory management.
U ovom doktorskom radu razvijena je integralna metoda optimalnog upravljanja zalihama modernih dobavljačkih lanaca. Klasificirani su utjecajni čimbenici sustava upravljanja zalihama i to: model potražnje za proizvodima, sinkroniziranost radnog vremena, takt dobave proizvoda, minimalna veličina narudžbe i stav poslovnog sustava prema nedostatku traženih proizvoda. Temeljem klasificiranih čimbenika sustava upravljanja zalihama, određeni su čimbenici kvantifikacije pokazatelja sustava upravljanja zalihama i to: minimalan potreban broj dobava, prosječna veličina dobave, prosječna dnevna razina zaliha, koeficijent efekta biča, rizik naknadne dobave prvotno neisporučenih proizvoda, propuštena prodaja, troškovi sustava upravljanja zalihama bez popusta i troškovi sustava upravljanja zalihama s popustima. Novorazvijena metoda optimalnog upravljanja zalihama dobavljačkih lanaca dokazana je na 960 simulacijskih eksperimenata sustava upravljanja zalihama kojima su potvrđene sve tri
hipoteze odnosno, (I) odabir strategije upravljanja zalihama dobavljačkog lanca može značajno utjecati na poslovne pokazatelje dobavljačkog lanca s potencijalno velikim prednostima prilikom odabira optimalne strategije, (II) da će se uz jednaku prosječnu potražnju, povećanjem kaotičnosti potražnje povećati i opterećenje sustava upravljanja zalihama i dobavljačkog lanca
u cijelosti, te (III) da postojeći modeli, jednadžbe i algoritmi za određivanje potrebnih zaliha nisu dovoljno točni čime se smanjuje učinkovitost i povećavaju troškovi dobavljačkog lanca vezani za upravljanje zalihama.
By implementing business portfolio strategies in decision making process, companies can strengthen their position and improve possibility to control long-term development. ADL Matrix formulates ...strategy by analyzing company's competitive position and industry maturity. It is a good diagnostic instrument of strategic analysis. Its creation process is matched with structured analytical process that helps in making strategic decisions in the company.
