Development of Database for Distributed Information Measurement and Control System

The purpose of this work is the development of database of the distributed information measurement and control system that implements methods of optical spectroscopy for plasma physics research and atomic collisions and provides remote access to information and hardware resources within the Intranet/Internet networks. The database is based on database management system Oracle9i. Client software was realized in Java language. The software was developed using Model View Controller architecture, which separates application data from graphical presentation components and input processing logic. The following graphical presentations were implemented: measurement of radiation spectra of beam and plasma objects, excitation function for non-elastic collisions of heavy particles and analysis of data acquired in preceding experiments. The graphical clients have the following functionality of the interaction with the database: browsing information on experiments of a certain type, searching for data with various criteria, and inserting the information about preceding experiments.

Sostenibilità della Supply Chain e indici di misurazione delle performance

Il presente elaborato si propone di analizzare la tematica della sostenibilità nella gestione della Supply Chain, con particolare attenzione alla misurazione delle performance attraverso indicatori KPI e modelli multidimensionali. Nella prima sezione, dopo un’introduzione sul tema dello sviluppo sostenibile, si offre una descrizione dello scenario attuale e degli approcci alla sostenibilità, evidenziandone i principi guida e le sfide future, mentre in seguito vengono analizzate le pressioni esercitate dagli stakeholder per l’implementazione di pratiche sostenibili. La seconda porzione dell’elaborato è incentrata sull’introduzione della sostenibilità nel Supply Chain Management, caratterizzandone l’evoluzione dalla tradizionale gestione della catena di fornitura e mettendone in luce opportunità e barriere. Successivamente, la terza parte si propone di entrare nel dettaglio in merito alle pratiche adottabili nella filiera finalizzate all’implementazione di un management sostenibile, proponendo un modello concettuale per l’analisi delle varie attività, dalla progettazione di prodotto fino alla logistica inversa. Un’ulteriore tematica approfondita è rappresentata dall’impatto di queste pratiche sostenibili sulle performance economiche aziendali, proponendo diversi approcci. Nell’ultima sezione dell’elaborato il focus è incentrato sulla misurazione delle performance di sostenibilità, dove ne vengono indagate opportunità e difficoltà, proponendo in seguito un modello teorico. Contestualmente vengono quindi esposti diversi KPI e modelli multidimensionali, i quali, con modalità e prospettive diverse, contribuiscono alla misurazione delle prestazioni di sostenibilità: in particolare viene fatto riferimento agli indici caratteristici del GRI e all’utilizzo combinato della balanced scorecard e dell’analytic hierarchy process.

Analisi della Supply Chain e mappatura degli acquisti. Caso aziendale: Termotecnica Industriale S.r.l.

Il Supply Chain Management è una rete di strutture che producono materie prime e le trasformano in prodotti finiti da consegnare ai clienti. Per gestire in maniera efficace l’impresa, l’intera struttura della catena di approvvigionamento deve seguire il flusso aziendale correttamente, in modo da non creare rallentamenti nella fornitura e causare problemi al soddisfacimento dei bisogni del cliente. Questo elaborato analizza tutte le componenti che influiscono sul successo di una supply chain, in particolare la funzione strategica degli acquisti, evidenziandone le principali problematiche che si possono riscontrare e le soluzioni che invece si possono applicare. Gli acquisti, che nascono dalla richiesta di un bisogno da soddisfare, sono da considerarsi un vantaggio competitivo e di redditività per un’azienda, in quanto incidono direttamente sul fatturato totale, motivo per cui sono stati oggetto dello studio. L’acquisto deve rispecchiare le specifiche tecniche e funzionali richieste, al fine di soddisfare i bisogni del cliente. Analizzando tale reparto presso l’azienda Termotecnica Industriale S.r.l., una Piccola Media Impresa (PMI) che si occupa di progettazione, fabbricazione ed installazione di caldaie industriali e generatori di vapore a recupero di calore, si è ricercato un nuovo modello di approvvigionamento da seguire. L’obiettivo di questa analisi è di sviluppare una strategia aziendale che gestisca in maniera corretta la catena di fornitura, ottenendo migliori condizioni contrattuali ed evitare problemi come gli acquisti a collo di bottiglia. E’ stato necessario, individuare una nuova metodologia che aiutasse i buyer a instaurare il giusto rapporto col fornitore selezionato, in funzione all’acquisto che si sta per compiere. Infatti per ogni tipologia di approvvigionamento ci sono approcci differenti da utilizzare con i fornitori per ottenere delle agevolazioni rispetto a quanto offerto in precedenza dello stesso.

Stato dell'arte delle tecniche lean per la gestione della supply chain

L’idea di focalizzare la tesi sulla supply chain ed in particolare sulle tecniche lean per la sua ottimizzazione deriva dal fatto che si tratta di un nuovo modo di ragionare, di un approccio moderno perfettamente adattabile al contesto socio-economico attuale, teso ad accrescere la flessibilità e l’efficienza dell’impresa attraverso un ripensamento dell’intero flusso di creazione del valore. Verranno analizzate le caratteristiche generali di questo modello organizzativo, per poi addentrarsi nella sua applicazione ed infine i vantaggi e gli eventuali svantaggi che le organizzazioni devono affrontare per implementare operativamente le tecniche lean. L’analisi effettuata nella tesi è strutturata come segue: La parte iniziale del primo capitolo definisce il concetto generale di supply chain sottolineando il contesto di riferimento in cui oggi operano le attività produttive. Vengono poi riportati l’accezione e il valore della supply chain management e le sue problematiche annesse di gestione e controllo. Nella seconda parte del capitolo vengono analizzati e descritti i modelli letterari esistenti utili per descrivere, impostare e classificare una supply chain. Il secondo capitolo, dopo una breve esposizione storica che descrive le origini della metodologia lean production, è orientato alla raccolta delle definizioni e alle loro differenti visioni tratte dal mondo della letteratura. Segue una parte più analitica, dove vengono analizzati in maniera dettagliata gli obiettivi, gli strumenti ed i principi che la filosofia lean prevede. Nel terzo capitolo viene approfondita la VSM, uno degli strumenti di principale importanza secondo le logiche della lean manufacturing. Vengono analizzati gli step necessari per una corretta implementazione, illustrando prima la simbologia internazionale necessaria per una sua comprensione e realizzazione e poi definiti gli step da applicare non solo per una semplice realizzazione, ma per l’ottenimento di una value stream map in ottica lean.

Creazione della supply chain in una startup: il caso Refuel Solutions

L'obiettivo della tesi mira a sviluppare una soluzione per la catena di fornitura di una startup. La tesi inizia con una revisione sistematica della letteratura per definire prima ciò che sono gli acquisti in generale, per poi cercare di definire teoricamente quelle che sono le migliori strategie per una startup da adottare in ambito supply chain. È importante che venga compreso il contesto aziendale dove opera un’impresa prima di progettare una soluzione che potrebbe quindi non rispecchiare a pieno il modello teorico. Viene inoltre fornito un confronto nell'approccio all'ambito tra una startup e un'impresa consolidata con la descrizione del rapporto che può nascere tra le due. Nella seconda parte della tesi viene presentato il caso reale di Refuel Solutions, inizialmente descrivendo l’azienda e il mercato in cui opera, per addentrarsi poi nelle scelte specifiche che sono state fatte per costruire la catena di fornitura e nel racconto dell’esperienza su alcuni codici di acquisto, analizzandoli nello specifico, per concludere infine con quelli che sono gli obiettivi futuri per l’azienda.

Cost-to-serve customers’ optimization: Macro project Unilever – Jerónimo Martins

The objective of this work project is to analyse and discuss the importance of the “Cost to Serve” as a differentiation key factor, by accessing cost to serve customers of a Portuguese subsidiary of a multinational company, which is operating in the sector of fast moving consumer goods (FMCG) – Unilever – Jerónimo Martins (UJM). I will also suggest and quantify key proposals to decrease costs and increase customers’ value. Hence, the scope of this work project is focused on logistics and distribution processes of the company supply chain.

Gestão ambiental em cadeias de suprimentos: Perspectivas atuais e futuras de pesquisa

This article aims to identify the main definitions, practices and related avenues for future research on green supply chain management (GSCM). From a systematic literature review and analysis in major journals related to the topic and indexed in Scopus, was possible: a) identify key research goals of the articles analyzed, b) the research methodology adopted, c) the predominant industrials sectors studied, and d) the practices of GSCM considered relevant by researchers. Results are presented in each of these analytical perspectives. These results may be useful both for those interested in environmental management and in supply chain management, in view of the growing interest in GSCM.

Approaches to Supply Chain Risk Management: Identification, Analysis and Control

Supply chain risk management has emerged as an increasingly important issue in logistics as disruptions in the supply chain have become critical issues for many companies. The scientific literature on the subject is developing and in many respects the understanding of it is still in its infancy. Thus, there is a need for more information in order for scholars and practitioners to understand the causalities and interrelations that characterise the phenomenon. The aim of this dissertation is to narrow this gap by exploring key aspects of supply chain risk management through two maritime supply chains in the immediate region of the Gulf of Finland. The study contributes to the field in three different ways. Firstly, it facilitates the identification of risks on different levels of the supply chain through a systematic analysis of the processes and actors, and of the cognitive barriers that limit the actors’ visibility and their understanding of the operations and the risks involved. There is a clear need to increase collaboration and information exchange in order to improve visibility in the chain. Risk management should be a collaborative effort among the individual actors, aimed at obtaining a holistic picture. Secondly, the study contributes to the literature on risk analysis through the use of systemic frameworks that illustrate the causalities and linkages in the system, thereby making it easier to perceive the vulnerabilities. Thirdly, the study enhances current knowledge of risk control in identifying actor roles, risk visibility and risk controllability as being among the key factors determining risk-management effectiveness against supply-chain vulnerability. This dissertation is divided into two parts. The first part gives a general overview of the relevant literature, the research design and the conclusions of the study, and the second part comprises six research publications. Case-study methodology with systematic combining approach is used, where in-depth interviews, questionnaires and expert panel sessions are the main data collection methods. The study illustrates the current state of risk management in multimodal maritime supply chains, and develops frameworks for further analysis. The results imply that there are major differences between organizations in their ability to execute supply chain risk management. Further collaboration should be considered in order to facilitate the development of systematic and effective management processes.

Design and management of a supply chain: a joint location-inventory problem under uncertainty (Part A)

In this paper, a joint location-inventory model is proposed that simultaneously optimises strategic supply chain design decisions such as facility location and customer allocation to facilities, and tactical-operational inventory management and production scheduling decisions. All this is analysed in a context of demand uncertainty and supply uncertainty. While demand uncertainty stems from potential fluctuations in customer demands over time, supply-side uncertainty is associated with the risk of “disruption” to which facilities may be subject. The latter is caused by external factors such as natural disasters, strikes, changes of ownership and information technology security incidents. The proposed model is formulated as a non-linear mixed integer programming problem to minimise the expected total cost, which includes four basic cost items: the fixed cost of locating facilities at candidate sites, the cost of transport from facilities to customers, the cost of working inventory, and the cost of safety stock. Next, since the optimisation problem is very complex and the number of evaluable instances is very low, a "matheuristic" solution is presented. This approach has a twofold objective: on the one hand, it considers a larger number of facilities and customers within the network in order to reproduce a supply chain configuration that more closely reflects a real-world context; on the other hand, it serves to generate a starting solution and perform a series of iterations to try to improve it. Thanks to this algorithm, it was possible to obtain a solution characterised by a lower total system cost than that observed for the initial solution. The study concludes with some reflections and the description of possible future insights.

Design and management of a supply chain: a joint location-inventory problem under uncertainty (Part B)

In recent years, global supply chains have increasingly suffered from reliability issues due to various external and difficult to-manage events. The following paper aims to build an integrated approach for the design of a Supply Chain under the risk of disruption and demand fluctuation. The study is divided in two parts: a mathematical optimization model, to identify the optimal design and assignments customer-facility, and a discrete-events simulation of the resulting network. The first one describes a model in which plant location decisions are influenced by variables such as distance to customers, investments needed to open plants and centralization phenomena that help contain the risk of demand variability (Risk Pooling). The entire model has been built with a proactive approach to manage the risk of disruptions assigning to each customer two types of open facilities: one that will serve it under normal conditions and a back-up facility, which comes into operation when the main facility has failed. The study is conducted on a relatively small number of instances due to the computational complexity, a matheuristic approach can be found in part A of the paper to evaluate the problem with a larger set of players. Once the network is built, a discrete events Supply Chain simulation (SCS) has been implemented to analyze the stock flow within the facilities warehouses, the actual impact of disruptions and the role of the back-up facilities which suffer a great stress on their inventory due to a large increase in demand caused by the disruptions. Therefore, simulation follows a reactive approach, in which customers are redistributed among facilities according to the interruptions that may occur in the system and to the assignments deriving from the design model. Lastly, the most important results of the study will be reported, analyzing the role of lead time in a reactive approach for the occurrence of disruptions and comparing the two models in terms of costs.

Handling of Uncertainty in Life Cycle Inventory by Correlated Multivariate Lognormal Distributions: Application to the Design of Supply Chain Networks

Poster presented in the 24th European Symposium on Computer Aided Process Engineering (ESCAPE 24), Budapest, Hungary, June 15-18, 2014.

Handling of Uncertainty in Life Cycle Inventory by Correlated Multivariate Lognormal Distributions: Application to the Design of Supply Chain Networks

In this work, we analyze the effect of incorporating life cycle inventory (LCI) uncertainty on the multi-objective optimization of chemical supply chains (SC) considering simultaneously their economic and environmental performance. To this end, we present a stochastic multi-scenario mixed-integer linear programming (MILP) coupled with a two-step transformation scenario generation algorithm with the unique feature of providing scenarios where the LCI random variables are correlated and each one of them has the desired lognormal marginal distribution. The environmental performance is quantified following life cycle assessment (LCA) principles, which are represented in the model formulation through standard algebraic equations. The capabilities of our approach are illustrated through a case study of a petrochemical supply chain. We show that the stochastic solution improves the economic performance of the SC in comparison with the deterministic one at any level of the environmental impact, and moreover the correlation among environmental burdens provides more realistic scenarios for the decision making process.

Cooperation in an HMMS-type supply chain: A management application of cooperative game theory = Kooperáció egy HMMS-típusú ellátási láncban: A kooperatív játékelmélet egy menedzsment alkalmazása

We apply cooperative game theory concepts to analyze a Holt-Modigliani-Muth-Simon (HMMS) supply chain. The bullwhip effect in a two-stage supply chain (supplier-manufacturer) in the framework of the HMMS-model with quadratic cost functions is considered. It is assumed that both firms minimize their relevant costs, and two cases are examined: the supplier and the manufacturer minimize their relevant costs in a decentralized and in a centralized (cooperative) way. The question of how to share the savings of the decreased bullwhip effect in the centralized (cooperative) model is answered by the weighted Shapley value, by a transferable utility cooperative game theory tool, where the weights are for the exogenously given “bargaining powers” of the participants of the supply chain. = A cikkben a kooperatív játékelmélet fogalmait alkalmazzuk egy Holt-Mogigliani-Muth-Simon-típusú ellátási lánc esetében. Az ostorcsapás-hatás elemeit egy beszállító-termelő ellátási láncban ragadjuk meg egy kvadratikus készletezési és termelési költség mellett. Feltételezzük, hogy mindkét vállalat minimalizálja a releváns költségeit. Két működési rendszert hasonlítunk össze: egy hierarchikus döntéshozatali rendszert, amikor először a termelő, majd a beszállító optimalizálja helyzetét, majd egy centralizált (kooperatív) modellt, amikor a vállalatok az együttes költségüket minimalizálják. A kérdés úgy merül fel, hogy a csökkentett ostorcsapás-hatás esetén hogyan osszák meg a részvevők ebben a transzferálható hasznosságú kooperatív játékban a költség megtakarítást, exogén módon adott tárgyalási pozíció mellett.

Supply chain performance management system

The purpose of the study is to determine general features of the supply chain performance management system, to assess the current state of performance management in the case company mills and to make proposals for improvement – how the future state of performance management system would look like. The study covers four phases which consist of theory and case company parts. Theoretical review gives understanding about performance management and measurement. Current state analysis assesses the current state of performance management in the mills. Results and proposals for improvement are derived from current state analysis and finally the conclusions with answers to research questions are presented. Supply chain performance management system consists of five areas: perfor-mance measurement and metrics, action plans, performance tracking, performance dialogue and rewards, consequences and actions. The result of the study revealed that all mills were quite average level in performance management and there is a room for improvement. Created performance improvement matrix served as a tool in assessing current performance management and could work also as a tool in the future in mapping the current state after transformation process. Limited harmonization was revealed as there were different ways to work and manage performance in the mills. Lots of good ideas existed though actions are needed to make a progress. There is also need to harmonize KPI structure.