Canada has been recognized as the largest exporter of flax seed in the world. Currently, very little flax straw is further processed, despite its potential as a value added product, with only about 7-10% of Canadian flax seed producers harvesting residual flax straw rather than burning the straw. A traditional use of flax straw has been for the production of fibre for the linen industry. Interest in flax fibre has been rekindled with the impetus to seek out bioproducts that replace non-renewal resources and provide value-added opportunities for agricultural producers. Flax fibre also has a range of potential uses in automotive parts, geotextiles, insulation material, etc. Despite this potential, the Canadian flax fibre sector remains largely underdeveloped, with fledgling supply chains and lack of investment in the necessary processing capacity. This paper develops a framework for analysing the relational exchanges at different stage of the supply chain to determine if the paucity in investment is the result of prohibitively high exchange costs. A number of distinct stages in the flax fibre supply chain can be identified: farmers producing flax seed and/or straw; processors who extract the natural fibre from the straw; and manufacturers who use the fibre in their products. The paper develops a framework that draws together insights from Transaction Cost Economics, Agency Theory and Bargaining Theory. The role of institutions in facilitating quality measurement and providing participants with information is also considered. The theoretical framework identifies asset specificity, agency measurement costs, bargaining power and under-developed institutions as key factors in the development of the flax fibre sector. From the theoretical framework, a set of propositions is developed that examine the anticipated effect of these factors on vertical coordination in the sector. The theoretical propositions are explored through a series of semi-structured interviews with parties at each stage of the supply chain (producers, fibre processors, final manufacturers), as well as with industry experts. Information from the interviews is used to identify the transaction characteristics and the institutional framework characterizing the flax fibre sector in Canada. This is analysed through a comparative case study approach with the flax fibre sector in Europe, and the wool fibre sector in New Zealand as an example of a fully developed and long-standing fibre sector. By also noting the different vertical coordination strategies that are present in these supply chains, a connection is drawn between the presence of certain transaction characteristics and the corresponding cost-minimizing exchange relationships. The case studies are used to investigate the propositions developed from the theoretical framework regarding the impact of transaction characteristics on the optimal vertical coordination strategy and the impediments to development and investment in the sector. The propositions developed in the framework are verified to a great extent by the comparative case study. The uncertainty in the exchange environment regarding the future direction of the flax fibre industry and the high measurement costs due to the absent quality and grading regime in the Canadian flax fibre set the two industries apart from each other. Both of these dimensions impact the exchange costs of a transaction and subsequently, the extent to which the parties are closely coordinated. The case studies verify that using a framework to analyze transactions provides additional insights because of the joint consideration of several features of the transaction.

This thesis addresses three problems where a focal agent's operational policies (inventory and capacity allocation) interact with marketing decisions. The first chapter studies how wholesale all-unit discounts may lead to products being shifted from authorized retailers to discounted gray market channels. Such discounts lead to discontinuous ordercosts which may induce buyers to order up to a threshold where they receive a greater discount. The buyer in this chapter is a reseller who makes purchasing decisions while taking into account inventory holding costs, how their resale price affects consumer demand and whether or not they divert inventory to the gray market. I analyze factors which determine how the reseller balances between lowering resale prices and diverting to the gray market, both of which lower costs by shortening the time inventory is held. Modelling the decisions as a Stackelberg game, the welfare of the authorized channel participants is analyzed. Of import, consumer welfare may decrease if a gray market emerges when holding costs are low. In the latter two chapters, the supplier sells a congested service. For example, this supplier may be a courier facing stochastic buyer arrivals. Buyers vary in their value for the service and how patient they are, so the supplier may improve outcomes by providing a menu of delay levels and prices. The system is modelled as a priority queue where congestion constrains the arrival rates at each delay level. In the first study, the supplier has aggregate market data. I model the problem as an optimization subject to incentive and congestion constraints. The novel contributions include a precise description of the optimal menu as a function of the supplier's capacity (the rate at which buyers can be served). Findings include existence of distinct capacity regions where the supplier utilizes service pooling and strategic delay. In the final chapter the related welfare maximization problem is considered. Sufficient conditions for optimal pricing are derived which depend only on operational information: the current revenue must be equal to the best-case revenue subject to current prices and congestion constraints. An associated performance measure is shown to bound deviation from maximum welfare and is used as a heuristic within an adaptive pricing protocol. This protocol is shown to converges to near welfare maximizing outcomes.

Today we find ourselves in limbo between the need to reduce usage of the world’s dwindling supply of natural resources and a stubborn resistance to change our consumption habits. The continuing scarcity of resources, coupled with an increase in demand for them from a growing population, is the largest challenge facing earth and its people. While many individual citizens, politicians, press sources and businesses are ignoring the current situation, some have recognized the need for a green revolution. Leaders have attempted to enact a cultural change, organizing events and initiatives to garner the attention of those in position to make a change, and people have taken responsibility for their own actions in choosing more sustainable options in their everyday lives. Very small starts have been made in the colossal struggle against the changing climate, mounting environmental problems and expansive social issues, but these will not be sufficient for sustaining out future. Some entity with power must stand up to lead change, and that entity should be business. While business is largely responsible for much of the world’s environmental problems today, the ability of the free market system to create positive change through sustainable business practices is far more powerful than public polic

In today’s extremely competitive marketplace, firms are facing the need to meet or exceed increasing customer expectations while cutting costs to stay competitive in a global market. To develop competitive advantage in this business climate, companies must make informed decisions regarding their supply chain. In recent years, supply chain networks have received increasing attention among companies. The decision makers confront the network design problem in different situations. In order to make decisions, especially in strategic supply chain management, decision makers must have a holistic view of all the components. Supply chain network design, particular facility location problems, is one of the most complex strategic decision problems in supply chain management The aim of this dissertation is to make an inquiry about the facility location problems and related issues in supply chain and logistics management, and the use of modelling approaches to solve these problems. The methodology is to construct a review protocol by forming a review panel, and developing a detailed search strategy with clear inclusion and exclusion criteria. In addition, the measurement for evaluating the quality of studies is presented with a strategy for extracting data and synthesising the methodologies. The search results show the background of the facility location problems, the importance and the basic questions of these problems. The taxonomy of facility location problems with eighteen factors is presented. The basic static and deterministic problems in facility location including the covering, centre, median and fixed charge problems are discussed. Also, the extension of facility location problems comprises of location-allocation, multi-objective, hierarchical, hub, undesirable and competitive problems. In terms of uncertainty, dynamic, stochastic and robust facility location problems are presented. Finally, strengths and weaknesses of different modelling approaches are discussed; importantly, gaps from the review process are indentified. Recommendations of future research are described; and the facility location problem to be addressed by the proposed research is shown. In addition, contributions of the proposed facility location problem are illustrated.

The purpose of this paper, “Role of Nuclear Energy in Japan Post – Fukushima: Alternatives and their Impact onJapan’s GHG Emission Targets”, is to emphasize that Japan’s expected new energy policy must be in accordancewith its existing environmental targets with regards to GHG emissions. The main research question is how Japan cancontinue to meet its emissions targets in the aftermath of the Fukushima crisis, where public opinion—gaugedthrough newspaper articles—in Japan has now become outright anti-nuclear, and Japan has become compelled toadopt a new nuclear-free energy policy built around renewable energy. However, given the extremely low share ofrenewable energy in Japan’s existing energy mix, an extremely pro-nuclear government, an influential energy lobbyand an overall lack of suitable infrastructure; this goal does appear ambitious. The framework of analysis in thispaper will be of ‘sustainable development’, entailing an analysis of the three pillars of sustainability – environment,economy and social factors. In addition to these factors, security of supply will also be considered as a vital measureto determine the policy’s overall sustainability. The paper will show that while it is indeed possible for Japan tomeet its GHG emissions targets by replacing nuclear energy with renewable energy, Japan’s ability to deployrenewable energy at such a large scale remains inadequate. Through a comparison with the German experience inrenewable energy, any withdrawal from nuclear energy without properly propping up renewable energy will onlyresult in a greater shift towards primary fossil fuels – jeopardizing Japan’s emission targets, security of supply andincurring heavy import costs to its economy. The result of this analysis is to suggest measures such as an expansiveFeed-in tariff system, grid integration and stability and investment in R&D as major components of a focused andlong term energy policy up till 2030, to promote renewable energy. This paper will also posit steps required toimprove the safety and efficiency of its nuclear reactors during the interim period when renewable energy grows inits share of Japan’s energy mix.

Postponement is widely recognised as an approach that can lead to superior supply chains, and its application is widely observed as a growing trend in manufacturing. Form postponement (FPp) involves the delay of final manufacturing until a customer order is received and is commonly regarded as an approach to mass customisation. However, while much is written in the literature on the benefits and strategic impact of FPp, little is still known about its application. Thus this research project aims to address how FPp is applied in terms of the operational implications within the manufacturing facility. Here the ‘postponed’ manufacturing processes are performed in the factory where the preceding processes are carried out. An in-depth case study research design was developed and involved case studies at three manufacturing facilities, which provided diverse contexts in which to study FPp applications. Each case study incorporated multiple units of analysis which were based around product groups subject to different inventory management policies – FPp, make to order (MTO) and make to stock (MTS). The same research design was used in each study and involved both qualitative and quantitative evidence. Qualitative evidence was gathered via structured interviews and included the operational changes required to apply FPp in a previously MTO and MTS environment. Eleven quantitative variables, providing a broad based measurement instrument, were compared across the three units of analysis to test the hypotheses. This combination of qualitative and quantitative evidence in the case studies helped to triangulate the research findings. Comparison between the three case studies provided further conclusions regarding operational implications that were context specific and those which were not. The research concludes that the manufacturing planning system presents a major obstacle to the application of FPp in a MTO and MTS environment. In spite of this, and even when the FPp application is flawed, the benefits of FPp still justify its application. The research also contributes two frameworks: one which determines when FPp is a viable alternative to MTO or MTS; and another that illustrates the major operational implications of applying FPp to a product exhibiting component swapping modularity.

This dissertation develops contributions in the area of supply chain risk assessment and mitigation. In each of the three main chapters, we present and analyze a risk assessment or mitigation problem for supply chains. The first problem is to assess the impact of infrastructure disruptions on supply chain performance; the second problem is to develop an operational control approach to mitigate risks posed by uncertain events that disrupt network synchronization; and the third problem is to analyze the risk posed by an adversary seeking to use a supply chain as a weapon. Chapter II presents a methodology for assessing the excess supply chain costs that arise from a failure of or an attack on a critical supply chain infrastructure component. Different from many subjective risk assessment practices, our methodology provides a systematic approach to search for the most vulnerable supply chain components and measure the economic consequences of disruption. Modeling a supply chain using network flow models, we analyze the impact of disruption by linear programming theory, and propose an efficient assessment algorithm based on the dual network simplex method. Finally, a case study on the U.S. corn export supply chain is presented. Chapter III discusses the mitigation of risks created by transit time uncertainties in less-than-truckload (LTL) line-haul operations. Transit time uncertainty may undermine the performance of the load plan, which specifies the route for each shipment and is synchronized to reduce line-haul costs. In our study, risk assessment of a load plan is performed via a dispatch simulation under randomly generated travel time scenarios. The risk consequence is measured by the average excess operational cost, including transportation cost and handling cost. Compared to existing line-haul network models embedded within integer programming approaches for load plan optimization, the dispatch simulation can evaluate the performance of a load plan more realistically. In addition, a heuristic search algorithm based on "multi-tree pivots" is provided to obtain a cost-efficient load plan that is robust to transit time uncertainties. Chapter IV presents methodology to assess the consequence of risks which arise from the intentional contamination of a food supply chain. Different from many risk management practices, the source of risk in this problem is an intelligent adversary, e.g., a terrorist group, who intends to deliver chemical or biological toxins to consumers using the supply chain. First, a general modeling scheme based on state-space models is provided to describe the dissemination of toxin across consumed products in a food supply chain. Then, a case study based on a representative liquid egg supply chain is presented. Based on the system model, a risk assessment for different supply chain designs is performed by simulation. Moreover, an in-depth analysis is conducted to determine the worst-case consequence given an intelligent attack considering the operational characteristics of the system. The worst-case consequence tool developed is designed to be embedded within any risk assessment approach.

This dissertation consists of two parts. The first part isabout“Managing buyer-supplier relationships in autoproduction chains ­ a case study of Volvo and its supplierrelationship management”. The second part is about“Managing buyer-supplier relationships in telecom supplychains ­ a case study of Ericsson and its supplierrelationship models in different business situations”. The scope of this study is restricted to supply chains inautomotive and telecommunication industries, where the successof supply processes is dependent on how well a company managesits supply chain with horizontal or vertical integration tofulfill customer demands. The research is carried out as a number of case studies ofbuyer-supplier relationship management in the auto and telecomsupply chains. The aim was to analyze how a company fulfillscustomer demand in the best way through different supplierrelationships, and how and why alternative relationship typesare used in reality. The study is based on the relationship between two focalcompanies and their suppliers. Case study methodology is used,and data is collected from selected cases through interviewsand observations. Analysis is carried out within and acrosscases. From the case interpretation and analysis, conclusionsare drawn as to which strategic level of buyer-supplierrelationship is appropriate for different situations. As a result and in conclusion, a static supplychain-reaction model is built at the end of the Part I. Thestatic model describes the importance of collaborativebuyer-supplier relationships in the product developmentprocess. Based on this model, it is concluded in Part II thatthe most suitable supplier relationship is different fordifferent products. For the same product, the most appropriatebuyer-supplier relationship varies with the product’s lifecycle timing. Therefore, two dynamic buyer-supplierrelationship models under different business conditions and indifferent product life-cycle periods are created in Part II.The models apply to dynamic processes, not to interactingcompany organizations in general. The study increases the knowledge regarding selection of themost appropriate supplier relationships in different businesssituations. Key words:buyer-supplier relationship, sourcingstrategy, supply chain management / <p>Qc 20130827</p>

Many researchers have contributed to the field of international purchasing; but there are no consistent findings to illustrate particular connections within the field. This particular research studies the ways that two Iranian producers of polymer piping systems handle international purchasing in current complex Iranian economic circumstances. By going beyond macroeconomic theories of international trade and using three-factor model of international industrial purchasing this particular study aims to reveal how international industrial purchasing is handled by Iranian producers of polymer piping systems under current Iranian economic and politic circumstances. A case study approach employing face-to-face semi-structured interview method is designed. A set of interview questionnaires was designed to gather empirical qualitative and quantitative data. A narrative analysis was then conducted to lead the discussions and to draw conclusions. The results of the study show that international purchasing in both firms is influenced by internal factors including attitudes and competence as well as external factors including market conditions and regulations. The levels to which the first three mentioned factors influence international purchasing varies between the studied firms; but regulations have similar effects on the ways the studied firms handle international purchasing. Also, the modified three-factor model is perfectly applicable to the studied cases under current circumstances of Iranian economy.

Rising oil prices have been a concern for both developed and developing countries, especially in more recent years as it tends to have a crippling effect on production and transportation. Many countries have moved towards the development of fossil fuel alternatives as a means of achieving energy independence and achieving environmental targets (for example the Kyoto Protocol). Developments in both these types of energy markets (fossil fuel and renewable fuels) may impact Canadian Prairie agriculture. Most of Canadian prairie crops are exported. The Canadian prairies are land locked to some extent. The closest ocean access to the eastern portion of the prairies is the port of Churchill, but is closed during the winter season. Crops are therefore transported west through the Rocky Mountains or east through the Great Lakes to get to a port. This requires hundreds of kilometres of truck and rail transportation, which is fuel dependent. To a lesser extent, at the micro-level farmers depend on fossil fuels to operate machinery to facilitate efficient crop production. If oil prices continue on an upward trajectory, will farmers cropping behaviour change? Furthermore, the development of the bioethanol industry on the Canadian prairies has given wheat farmers another crop option. As oil prices increase, the price of ethanol increases as well. Also, demand is bolstered by renewable fuel standards and government tax exemptions or subsidies. This study seeks to put forward the notion that as oil prices increase, crop production and transportation costs also increase thereby reducing farmers’ gross margins. Also, ceteris paribus, as oil prices increase there will be an increased demand for, and an increase in the price of biofuels thereby increasing the price of biofuel feedstock. Higher feedstock prices are expected to increase the gross margins of farmers. Therefore higher oil prices drive increased crop competition between traditional cropping (cropping for food exports) and energy cropping. This thesis seeks to ascertain at what level of oil prices would farmers, in general, be willing to switch from producing wheat for traditional (hard/food wheat) purposes to bioenergy (soft/ biofuel wheat) cropping alternatives. Also under varying scenarios of oil price growth and government support to the biofuel industry, this thesis seeks to ascertain the impact of biofuel industry expansion on grain elevator pricing behaviour and the structure of the elevator industry, assuming elevators spatially compete with each other for farmers’ crops. An agent based model (ABM) is employed for this study. The model is selected over other types as the researcher wants to capture the increased complexity stemming from the competition between crops that belong to at least one distribution chain. Agent based networks allow for emergent behaviour that is obtained from the spatial competition of elevators. Finally, the agent based model allows for spatial heterogeneity in location of farmers in terms of soil quality and their proximity to an elevator, which affects crop productivity and transportation costs, respectively. The ABM (also called the FARMCHAIN model) is comprised of over 35000 farmer agents, 176 elevator agents, 6 canola crushing plant agents, 5 ethanol plant agents and 1 biodiesel plant agent located on the 20 census agricultural regions (CARs) of Saskatchewan. Farmers allocate land based on their expected gross margins. Farmers produce and truck crops to the designated distribution chain. Crops move through the chain and at every stage the associated costs are computed and apportioned to the farmer. At the end of the period, gross margins are computed and these gross margins are used in computing the expected gross margins for the subsequent period. It is found that real annual crude prices would have to be greater than $133 before farmers begin to switch to producing biofuel wheat (soft wheat) from food wheat (hard wheat). This would have to be approximately 30% higher than that of 2008 in which crude prices were at record levels. Also, if biofuel support is declining then it would take a considerably higher price to entice farmers, in aggregate, to switch.