Decision support system for vendor managed inventory supply chain:a case study

Vendor-managed inventory (VMI) is a widely used collaborative inventory management policy in which manufacturers manages the inventory of retailers and takes responsibility for making decisions related to the timing and extent of inventory replenishment. VMI partnerships help organisations to reduce demand variability, inventory holding and distribution costs. This study provides empirical evidence that significant economic benefits can be achieved with the use of a genetic algorithm (GA)-based decision support system (DSS) in a VMI supply chain. A two-stage serial supply chain in which retailers and their supplier are operating VMI in an uncertain demand environment is studied. Performance was measured in terms of cost, profit, stockouts and service levels. The results generated from GA-based model were compared to traditional alternatives. The study found that the GA-based approach outperformed traditional methods and its use can be economically justified in small- and medium-sized enterprises (SMEs).

Non-stationary stochastic inventory lot-sizing with emission and service level constraints in a carbon cap-and-trade system

Firms worldwide are taking major initiatives to reduce the carbon footprint of their supply chains in response to the growing governmental and consumer pressures. In real life, these supply chains face stochastic and non-stationary demand but most of the studies on inventory lot-sizing problem with emission concerns consider deterministic demand. In this paper, we study the inventory lot-sizing problem under non-stationary stochastic demand condition with emission and cycle service level constraints considering carbon cap-and-trade regulatory mechanism. Using a mixed integer linear programming model, this paper aims to investigate the effects of emission parameters, product- and system-related features on the supply chain performance through extensive computational experiments to cover general type business settings and not a specific scenario. Results show that cycle service level and demand coefficient of variation have significant impacts on total cost and emission irrespective of level of demand variability while the impact of product's demand pattern is significant only at lower level of demand variability. Finally, results also show that increasing value of carbon price reduces total cost, total emission and total inventory and the scope of emission reduction by increasing carbon price is greater at higher levels of cycle service level and demand coefficient of variation. The analysis of results helps supply chain managers to take right decision in different demand and service level situations.

A methodology to select an enterprise resource planning system for a small or medium sized enterprise

Enterprise Resource Planning (ERP) systems are software programs designed to integrate the functional requirements, and operational information needs of a business. Pressures of competition and entry standards for participation in major manufacturing supply chains are creating greater demand for small business ERP systems. The proliferation of new offerings of ERP systems introduces complexity to the selection process to identify the right ERP business software for a small and medium-sized enterprise (SME). The selection of an ERP system is a process in which a faulty conclusion poses a significant risk of failure to SME’s. The literature reveals that there are still very high failure rates in ERP implementation, and that faulty selection processes contribute to this failure rate. However, the literature is devoid of a systematic methodology for the selection process for an ERP system by SME’s. This study provides a methodological approach to selecting the right ERP system for a small or medium-sized enterprise. The study employs Thomann’s meta-methodology for methodology development; a survey of SME’s is conducted to inform the development of the methodology, and a case study is employed to test, and revise the new methodology. The study shows that a rigorously developed, effective methodology that includes benchmarking experiences has been developed and successfully employed. It is verified that the methodology may be applied to the domain of users it was developed to serve, and that the test results are validated by expert users and stakeholders. Future research should investigate in greater detail the application of meta-methodologies to supplier selection and evaluation processes for services and software; additional research into the purchasing practices of small firms is clearly needed.^

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.

Optimal location of gas supply units in natural gas system network

Natural gas industry has been confronted with big challenges: great growth in demand, investments on new GSUs – gas supply units, and efficient technical system management. The right number of GSUs, their best location on networks and the optimal allocation to loads is a decision problem that can be formulated as a combinatorial programming problem, with the objective of minimizing system expenses. Our emphasis is on the formulation, interpretation and development of a solution algorithm that will analyze the trade-off between infrastructure investment expenditure and operating system costs. The location model was applied to a 12 node natural gas network, and its effectiveness was tested in five different operating scenarios.

Group decision making for selection of an information system in a business context

The main objective of this work is to report on the development of a multi-criteria methodology to support the assessment and selection of an Information System (IS) framework in a business context. The objective is to select a technological partner that provides the engine to be the basis for the development of a customized application for shrinkage reduction on the supply chains management. Furthermore, the proposed methodology di ers from most of the ones previously proposed in the sense that 1) it provides the decision makers with a set of pre-defined criteria along with their description and suggestions on how to measure them and 2)it uses a continuous scale with two reference levels and thus no normalization of the valuations is required. The methodology here proposed is has been designed to be easy to understand and use, without a specific support of a decision making analyst.

An information model for lean, agile, resilient and green supply chain management

Dissertação para a obtenção de Grau de Mestre em Engenharia e Gestão Industrial

Lean, agile, resilient and green supply chain management interoperability assessment methodology

Dissertação para obtenção de grau de Mestre em Engenharia e Gestão Industrial (MEGI)

Supply chain integration model: practices and customer values

Dissertation to obtain PhD in Industrial Engineering

Influence of Lean and Green on supply chain performance: an interpretive structural modelling model

This work aims to identify and rank a set of Lean and Green practices and supply chain performance measures on which managers should focus to achieve competitiveness and improve the performance of automotive supply chains. The identification of the contextual relationships among the suggested practices and measures, was performed through literature review. Their ranking was done by interviews with professionals from the automotive industry and academics with wide knowledge on the subject. The methodology of interpretive structural modelling (ISM) is a useful methodology to identify inter relationships among Lean and Green practices and supply chain performance measures and to support the evaluation of automotive supply chain performance. Using the ISM methodology, the variables under study were clustered according to their driving power and dependence power. The ISM methodology was proposed to be used in this work. The model intends to provide a better understanding of the variables that have more influence (driving variables), the others and those which are most influenced (dependent variables) by others. The information provided by this model is strategic for managers who can use it to identify which variables they should focus on in order to have competitive supply chains.

Information sharing in R&D collaboration - Context-dependency and means of governance

Tiedon jakaminen ja kommunikointi ovat tärkeitä toimintoja verkostoituneiden yritysten välillä ja ne käsitetäänkin yhteistyösuhteen yhtenä menestystekijänä ja kulmakivenä. Tiedon jakamiseen liittyviä haasteita ovat mm. yrityksen liiketoiminnalle kriittisen tiedon vuotaminen ja liiketoiminnan vaatima tiedon reaaliaikaisuus ja riittävä määrä. Tuotekehitysyhteistyössä haasteellista on tiedon jäsentymättömyys ja sitä kautta lisääntyvä tiedon jakamisen tarve, minkä lisäksi jaettava tieto on usein monimutkaista ja yksityiskohtaista. Lisäksi tuotteiden elinkaaret lyhenevät, ja ulkoistaminen ja yhteistyö ovat yhä kasvavia trendejä liiketoiminnassa. Yhdessä nämä tekijät johtavat siihen, että tiedon jakaminen on haastavaa eritoten verkostoituneiden yritysten välillä. Tässä tutkimuksessa tiedon jakamisen haasteisiin pyrittiin vastaamaan ottamalla lähtökohdaksi tiedon jakamisen tilanneriippuvuuden ymmärtäminen. Työssä vastattiin kahteen pääkysymykseen: Mikä on tiedon jakamisen tilanneriippuvuus ja miten sitä voidaan hallita? Tilanneriippuvuudella tarkoitetaan työssä niitä tekijöitä, jotka vaikuttavat siihen, miten yritys jakaa tietoa tuotekehityskumppaneidensa kanssa. Tiedon jakamisella puolestaan tarkoitetaan yrityksestä toiselle siirrettävää tietoa, jota tarvitaan tuotekehitysprojektin aikana. Työn empiirinen aineisto on kerätty laadullisella tutkimusotteella case- eli tapaustutkimuksena yhdessä telekommunikaatioalan yrityksessä jasen eri liiketoimintayksiköissä. Tutkimusjoukko käsitti 19 tuotekehitys- ja toimittajanhallintatehtävissä toimivaa johtajaa tai päällikköä. Työ nojaa pääasiassa hankintojen johtamisen tutkimuskenttään ja tilanneriippuvuuden selvittämiseksi paneuduttiin erityisesti verkostojen tutkimukseen. Työssä kuvattiin tiedon jakaminen yhtenä verkoston toimintona ja yhteistyöhön liittyvättiedon jakamisen hyödyt, haasteet ja riskit identifioitiin. Tämän lisäksi työssä kehitettiin verkoston tutkimismalleja ja yhdistettiin eri tasoilla tapahtuvaa verkoston tutkimusta. Työssä esitettiin malli verkoston toimintojen tutkimiseksija todettiin, että verkostotutkimusta pitäisi tehdä verkosto, ketju, yrityssuhde- ja yritystasolla. Malliin on myös hyvä yhdistää tuote- ja tehtäväkohtaiset ominaispiirteet. Kirjallisuuskatsauksen perusteella huomattiin, että tiedon jakamista on aiemmin tarkasteltu lähinnä tuote- ja yrityssuhteiden tasolla. Väitöskirjassa esitettiin lisää merkittäviä tekijöitä, jotka vaikuttavat tiedon jakamiseen. Näitä olivat mm. tuotekehitystehtävän luonne, teknologia-alueen kypsyys ja toimittajan kyvykkyys. Tiedon jakamisen luonnetta tarkasteltaessa erotettiin operatiivinen, projektin hallintaan ja tuotekehitykseen liittyvä tieto sekä yleinen, toimittajan hallintaan liittyvä strateginen tieto. Tulosten mukaan erityisesti tuotekehityksen määrittelyvaihe ja tapaamiset kasvotusten korostuivat yhteistyössä. Empirian avulla tutkittiin myös niitä tekijöitä, joilla tiedon jakamista voidaan hallita tilanneriippuvuuteen perustuen, koska aiemmin tiedon jakamisen hallintakeinoja tai menestystekijöitä ei ole liitetty suoranaisesti eri olosuhteisiin. Nämä hallintakeinot jaettiin yhteistyötason- ja tuotekehitysprojektitason tekijöihin. Yksi työn keskeisistä tuloksista on se, että huolimatta tiedon jakamisen haasteista, monet niistä voidaan eliminoida tunnistamalla vallitsevat olosuhteet ja panostamalla tiedon jakamisen hallintakeinoihin. Työn manageriaalinen hyöty koskee erityisesti yrityksiä, jotka suunnittelevat ja tekevät tuotekehitysyhteistyötä yrityskumppaniensa kanssa. Työssä esitellään keinoja tämän haasteellisen tehtäväkentän hallintaan ja todetaan, että yritysten pitäisikin kiinnittää entistä enemmän huomiota tiedon jakamisen ja kommunikaation hallintaan jo tuotekehitysyhteistyötä suunniteltaessa.

Logging residues from regeneration fellings for biofuel production - a GIS-based availability and supply cost analysis

Finland has large forest fuel resources. However, the use of forest fuels for energy production has been low, except for small-scale use in heating. According to national action plans and programs related to wood energy promotion, the utilization of such resources will be multiplied over the next few years. The most significant part of this growth will be based on the utilization of forest fuels, produced from logging residues of regeneration fellings, in industrial and municipal power and heating plants. Availability of logging residues was analyzed by means of resource and demand approaches in order to identify the most suitable regions with focus on increasing the forest fuel usage. The analysis included availability and supply cost comparisons between power plant sites and resource allocation in a least cost manner, and between a predefined power plant structure under demand and supply constraints. Spatial analysis of worksite factors and regional geographies were carried out using the GIS-model environment via geoprocessing and cartographic modeling tools. According to the results of analyses, the cost competitiveness of forest fuel supply should be improved in order to achieve the designed objectives in the near future. Availability and supply costs of forest fuels varied spatially and were very sensitive to worksite factors and transport distances. According to the site-specific analysis the supply potential between differentlocations can be multifold. However, due to technical and economical reasons ofthe fuel supply and dense power plant infrastructure, the supply potential is limited at plant level. Therefore, the potential and supply cost calculations aredepending on site-specific matters, where regional characteristics of resourcesand infrastructure should be taken into consideration, for example by using a GIS-modeling approach constructed in this study.

Consignment Stock Concept for Corporation’s Inbound Logistics

Kaupintavaraston käyttäminen yrityksen hankintalogistiikassa vapauttaa varastoihin sitoutuneita pääomia, parantaa palveluastetta ja syventää asiakkaan ja toimittajan välistä yhteistyötä. Tulevaisuudessa menetelmää tullaan käyttämään laajenevassa määrin keinona logistisen kilpailukyvyn ja kustannustehokkuuden parantamisessa.Tämän työn tavoitteena oli selvittää yrityksen hankintalogistiikkaan soveltuvan kaupintavarastontoiminnan vaatimukset ja kehittää konsernin eri toimialoille yhtenäinen konsepti. Selvitys aloitettiin tutkimalla kirjallisuutta ja yrityksen asiakkaalla käytössä olevaa kaupintavarastoratkaisua, jonka jälkeen käytännön ongelmia kartoitettiin pilottiprojektin avulla.Tuloksena saatiin konsepti, jossa on käsitelty kaupintavaraston käyttöönottoa varten tarvittavat erityispiirteet kansainvälisessä kaupankäynnissä. Toimittajien ja toimitusketjujen erilaisista rakenteista johtuen yksityiskohdat on mietittävä jokaisen toimittajan kanssa erikseen.

Developing supply chain performance measurement metrics, case Halton Oy

Tämä tutkimus pyrkii selvittämään, miten toimitusketjun suorituskykyä voidaan mitata kohdeyrityksessä. Supply Chain Council (SCC) on vuonna 1996 kehittänyt Supply Chain Operations Reference (SCOR) – mallin, joka mahdollistaa myös suorituskyvyn mittaamisen. Tämän tutkimuksen tarkoituksena on soveltaa SCOR-mallin suorituskyvyn mittausmallia kohdeyrityksessä. Työ on kvalitatiivinen tapaustutkimus. Työn teoriaosassa on pääasiallisesti käsitelty toimitusketjua ja suorituskyvyn mittaamista koskevaa kirjallisuutta. Mittausjärjestelmän luominen alkaa kohdeyrityksen esittelyllä. SCOR – mallin mittarit on kohdeyrityksessä rakennettu SCC:n ehdotusten mukaisesti, jotta mittareiden tulokset olisivat käyttökelpoisia myös benchmarkkausta varten. Malli sisältää 10 SCOR – mittaria, sekä muutamia muita Haltonin omia mittareita. Lopputuloksena voidaan nähdä, että SCOR – malli antaa hyvän yleiskuvan toimitusketjun suorituskyvystä, mutta kohdeyrityksessä on silti tarvetta kehittää edelleen informatiivisempia mittareita, jotka antaisivat yksityiskohtaisempaa tietoa kohdeyrityksen johdolle.

Benefits and challenges of supply chain finance business process automation : A case study in ING Bank

Supply chain finance, a financial product provided by the bank, has gained increasing attention and popularity over the last few years. Supply chain finance helps the corporate clients to optimize their financial flows along the supply chain. One characteristic of supply chain finance is that it aims to provide automated solutions. Therefore, the business process automation of supply chain finance is a very interesting and important topic for study. In this study, the business process automation of supply chain finance within the case organization, ING, is analysed. The purpose is to: (1) Identify the benefits to understand the importance to automate supply chain finance business process; (2) Find out the existing automation degree in the supply chain finance business process within the case bank to see what’s the situation now and how to improve in the future; (3) Discover the challenges in the further automation of supply chain finance business process. Firstly, the study finds out that supply chain finance business process automation can bring many benefits to the bank. Automation can improve productivity by using less time and human labour in the business process, and by providing scalable solutions. Automation can also improve quality of the service by reducing the human errors. Last but not least, automation can improve internal governance by providing enhanced visibility of the business process. Because of these potential benefits, many banks are actively seeking solutions to automate their supply chain finance business process. Then, the current automation situation with the case bank is analysed with the help of business process modelling. The supply chain finance business process within the case bank can be further divided into several sub processes: daily transaction, buyer sales and setup, supplier onboarding, contract management, customer services and supports, and contract termination. The study finds out that the daily transaction process is already a highly automated, which is carried out through the web-based trading platform. However, for other business the automation degree is relatively low. Among these business processes, supplier onboarding is most needed for further automation. Then, some solutions are also suggested to automate the supplier onboarding business process. In the end, the study also foresees some challenges during the further automation of supply chain finance business process in the case bank. Some suggestions are also given to deal with these challenges.