No description available.

Postponement as a tool of creating flexibility is not a new concept. It traces back in literature to the 1950’s but was mainly argued as a method useful for manufacturing. However, postponement could potentially be used in all different parts of an organization to delay certain activities, and thereby create flexibility, which is crucial in today’s volatile marketplace. Customers are requiring customized products, yet they are not willing to pay premium for processes involved. Also, competition is increasing, as retailers around the globe compete with each other due to internet and improved information systems. This study focuses on a retailer’s perspective in the supply chain, as previous studies mainly discuss manufacturers, and their different abilities of achieving flexibility. Supply chain management as a concept are discussed, which is described as an integrative approach to dealing with the planning and control of the materials flow from suppliers to end users. This will further be “extended” to demand chain management, where focus lies at customers’ demand and puts emphasis on the needs of the marketplace and identifies the roles and tasks to be designed in the supply chain to satisfy these needs, instead of starting with the supplier/manufacturer and working forward. This is closely connected to flexibility, and postponement as a tool to achieve this. Flexibility as such, is described as the ability to change, or adapt to customer demand. This study aims to explore the Swedish retailing business, and their use of postponement strategies. A quantitative study has been made to be able to create a general picture of their use of this tool, as well as their prerequisite for adopting this tool. This study shows that retailing in general do have adopted strategies for customizations except non-specialized stores where answers to a wide extent differed regarding their use of flexibility. However, these strategies mainly regard packaging, and/or basic customizations. Depending on the market certain retailers are active within; postponement is used in various extents. Expensive products, or customers requiring big quantities of products, are able to get these customized. Money is almost always the main concern in these adaptations. Some factors that have been studied, that were enablers of flexibility and postponement strategies, were not able to be analyzed as very low results were calculated. However, the main-factors: flexibility and postponement were able to be analyzed in detail, as well as discussions regarding the inconclusive data gathered.

Divisionen Underground Rock Excavation på Atlas Copco tillverkar kundanpassade gruvmaskiner i världsklass till kunder i mer än 170 länder. Från inköpsperspektivet är majoriteten av leverantörerna svenska men de dyraste komponenterna köps in från utlandet. Detta gör att stora krav ställs på både logistiken och produktionssystemet. De senaste årens ökande efterfrågan har lett till att materialförsörjningen har svårt att hantera de volymer som krävs och till följd uppstår störningar. En effektivisering och kapacitetsökning är nödvändig och därför kommer detta examensarbete att handla om kartläggning av material- och informationsflöde samt bristidentifiering av störningar i materialflödet. I tillägg till detta skall även företagets nyckeltal ses över och utvärderas i diskussionen utifrån vad teorin förespråkar. Examensarbetet har utförts på Atlas Copcos Underground Rock Excavation division i Örebro. Uppsatsen behandlar teori kopplat till de forskningsfrågor som presenteras i inledningen. Dessa frågor besvaras sedan utifrån teorin av författarna i diskussionskapitlet. I kapitlet nulägesbeskrivning presenteras en nulägesbild av företaget sett till material och informationsflöde samt dess prestanda. Detta för att läsaren ska få en bra bild över hur den dagliga verksamheten fungerar och hur de olika avdelningarna samverkar med varandra. Under problemidentifiering har två datakällor använts, statistik och kvalitativ data i form av workshops där deltagarna representerar hela materialflödet från ankomst till färdig produkt. All data har sammanställts i Paretodiagram för en tydlig visualisering och enkel prioritering för att sedan utredas vidare i form av en rotorsaksanalys. Rotorsaksanalysen ligger sedan till grund för de förbättringsförslag som presenteras i slutet av examensarbetet. Förslagen är baserade på prioriterade rotorsakerna och utvärderas sedan av utvalda deltagare för att ge en prioritering till företaget. Slutligen presenterar författarna rekommendationer som avgränsats från rapporten men som anses vara viktiga att jobba vidare med.

Physical distribution networks are integral parts of modern supply chains. When faced with a question of which node in a network is more important, cost immediately jumps to mind. However, in a world of uncertainty, there are other significant factors which should be considered when trying to answer such a question. The integrity of a network, as well as its robustness are factors that we consider, in making a judgement of importance. We develop algorithms to measure several properties of a class of networks. To accelerate the optimization of multiple related linear programs, we develop a modification of the revised simplex method, which exploits several key aspects to gain efficiency. We combine these algorithms and methods, to give rankings of the relative importance of nodes in networks. In order to better understand the usefulness of our method, we analyse the effect parameter changes have on the relative importance of nodes. We present a large, realistic network, whose nodes we rank in importance. We then vary the network's parameters and observe the impact of each change.

Risk management is one of the critical issues in supply chain management. Supply chain disruptions negatively impact on the performance and the business continuity of a firm, and the disruptions should be managed proactively if possible. One of the approaches for supply disruption management is to raise the level of inventory: supply disruptions can be reduced by simply increasing the safety stock level. However, inventory costs will be increased at the same time. Therefore it is assumed that having extra safety stock when and where needed is better than keeping a high safety stock all of the time. In this thesis, the concept of dynamic inventory management by supplier behavior monitoring is suggested and explored. Key to the concept is the assumption that out-of-control situations at a supplier can be causal triggers for stockouts, and that these triggers can be potentially predicted by using statistical monitoring tools. In the suggested approach, the statistical process control approach of using run tests is employed to monitor and evaluate the supplier behavior. The supplier’s yield rate is monitored as the performance measure, and the receiver’s safety stock level is increased when the supplier’s performance is detected to be potentially out-of-control (or about to reach an out-of-control situation). The simulation results under different yield rates indicate that stockouts can be reduced by monitoring the supplier behavior and dynamically adjusting inventory policy when production capacity is relatively loose and enough variability can be seen in the performance measure.

A rapid urbanization process facilitated an enormous expansion of the cities and stimulated the development of the urban housing markets in China. The primary purpose of this thesis is to find factors influencing the urban housing prices. Based on the supply and demand theory, I examine housing prices in 95 cities in 2010 related to population growth, wages, manufacturing employment, human capital, pollution, and housing investment using a cross section data analysis. The empirical results indicate that all those factors are significantly related to the housing prices. I focus on population growth, a proxy for the urbanization process, as the core determinant to analyze housing prices in China. In addition, the results also find that cities located in the eastern area have averagely a higher productivity than the ones located in the mid-west, and the higher housing prices in the eastern area are explained by the higher level of population growth and wages.

No description available.

No description available.

We study the supply chain with two manufacturers producing competing products and selling them through a common retailer. The two manufacturers must decide on the wholesale price and the level of service they plan to provide to the consumer. Each firm are assumed to optimize only its own profit (uncoordinated). The consumer demand depends on two factors: (1) retail price, and (2) service level provided by the manufacturer. We extend the study on this basic model in three directions. First, we explore the role of bargaining power in supply chain strategic interactions. We derive and compare equilibrium solutions for the supply chain under three different scenarios (e.g., Manufacturer Stackelberg, Retailer Stackelberg, and Vertical Nash). Second, we extend the framework to study multi-period model. In this model, demand also depends on the past period retail prices and service levels, as well as current prices and service levels. Game-theoretic approaches and dynamic system and control theory are used as tools to model the problem. Finally, we examine a single period problem with stochastic demand. When demand is uncertain, the retailer faces a newsvendor-type problem. In our model, the newsvendor must manage two competing products against a price-dependent demand. We derive an expression for the newsvendor's optimal retail prices. Next, we provide an algorithm to search for the equilibrium wholesale price and service level, given that the manufacturers know the retailer's reaction function. Some numerical examples are provided.

The outsourcing of elements of supply chain processes is now an integral component of the operationalization of a firm s competitive business strategy. While the purported goal of outsourcing is usually to derive a competitive advantage in the marketplace, it is not clear whether the outsourcing decisions made by firms are always strategically aligned with their overall competitive strategy. To shed light on this important issue, this research study empirically examines the performance impact of the alignment (congruence) between a firm s competitive priorities (cost, flexibility, innovativeness, quality, and time) and the drivers of its outsourcing decisions. First, we develop and validate a survey instrument used to collect data for this study from manufacturing firms operating in the United States. Next, we use structural equation modeling to examine the impact of alignment between individual competitive priorities and related groups of outsourcing drivers. This analysis finds a significant positive relationship between outsourcing alignment and performance for a number of competitive priorities. Finally, we use cluster analysis to develop a taxonomy of manufacturing strategies which are tested to determine the relationship between the alignment of outsourcing decisions and performance. The taxonomic investigation identifies three unique clusters of firms based on their competitive priorities and then determines alignment between each cluster strategy and outsourcing to be significantly associated with better performance. To the best of our knowledge, there are no studies in the literature that address the issue of strategic congruence between the outsourcing drivers and competitive priorities of a firm, and the impact of such congruence on firm performance.