24,185 research outputs found
TOWARD THE THEORY OF THE SUPPLY CHAIN
No full textAs our discipline has matured, we have begun to develop theories of supply chain management. However, we submit that a major omission of theory development in the supply chain management discipline is that we have failed to develop a theory of what we are managing—a theory of the supply chain. Using a conceptual theory building approach, we introduce foundational premises about the structure and boundary of the supply chain, which can serve as the basis for much needed, additional development of the theory of the supply chain.This is the peer reviewed version of the article, which has been published in final form at http://dx.doi.org/10.1111/jscm.1207
The importance of network goals for strategic chain management
No full textNowadays food products are increasingly produced in supply chain networks that involve numerous firms. Due to their pyramidal-hierarchical structure, such networks possess a focal company that coordinates the network. The managerial task of the focal company is to work out collective strategy that addresses cooperation and coordination problems at the firm, dyadic and network levels. These strategies must take into account that at each level specific goals must be achieved. Though the focal company is a strategy setting unit that sets network goals, other network actors may perceive these goals as firm-level goals of the focal company. Therefore, conflicts may occur in supply chain networks.Supply chain networks, focal company, network goals, Agribusiness,
Revisiting foundations in lot sizing - connections between Harris, Crowther, Monahan, and Clark
No full textWhile many review articles exist on (deterministic) lot sizing models used in the context of price and quantity discounts, buyer-vendor coordination, supply chain management, and joint economic lot sizing problems, they do not convey the impact of important findings which date back to at least 2002,or, in hindsight, to 1984. As a result, many recent articles still model the financial implications of lot sizing decisions without having the assurance that these models would help the firm(s) involved in maximising the Net Present Value (NPV). This paper therefore reviews these findings, while adding also its own contributions, as to convey the general importance to lot sizing theory. We show that the underlying principles used in the four key articles that have led to a division in modelling approaches are in fact all in line with NPV, and argue that therefore there should not be these discrepancies that currently persist in the literature. We establish the connections between these four strands of literature using the solution to a simple variation of Harris' EOQ model, deriving thereby results from Boyaci and Gallego (2002) and Beullens and Janssens (2011), but showing their general applicability to any type of supply-chain structure. The breath of implications to deterministic lot sizing theory is illustrated using practical examples. We present a stochastic version of the model of Crowther (1964), which is arguably the least understood and applied model, but on the other hand the most important one in realising how these modelling strands can be unifie
Data analytics in supply chain management: A state-of-the-art literature review
No full textIn recent years, there has been a growing surge of interest in the application of data analytics (DA) within the realm of supply chain management (SCM), attracting attention from both practitioners and researchers. This paper presents a comprehensive examination of recent implementations of DA in SCM. Employing a systematic literature review (SLR), we conducted a meticulous analysis of over 354 papers. Building upon a prior SLR conducted in 2018, we identify contemporary areas where DA has been applied across various functions within the supply chain and scrutinize the DA models and techniques that have been employed. A comparison between past findings and the current literature reveals a notable upsurge in the utilization of DA across most SCM functions, with a particular emphasis on the prevalence of predictive analytics models in contemporary SCM applications. The findings of this paper offer a detailed insight into the specific DA models and techniques currently in use across various SCM functions. Additionally, a discernible increase in the adoption of mixed or hybrid DA models is observed. However, several research gaps persist, including the need for more attention to real-time DA in SCM, the integration of publicly available data, and the application of DA to mitigate uncertainty in SCM. To address these areas and guide future research endeavors, the paper concludes by delineating six concrete research directions. These directions offer valuable avenues for further exploration in the field.Christian Doppler Forschungsgesellschaft, CD
Dairy supply chain restructuring and its impact on farmers' revenues in Poland
No full textSupply chain restructuring and its impact on farmers’ situation have become the subject of vast interest among agricultural economists. However, there have been relatively few studies trying to quantitatively asses this issue. This paper analyses the impact of supply chain modernisation on dairy farmers in Poland. It is shown that joining the modern marketing channel positively affects farmers’ revenues. The decision to enter the modern channel is crucially dependent on access to funds and facilitated by having larger cow herds.Supply chain, restructuring, dairy sector, Poland, Agribusiness, Livestock Production/Industries,
Bryan E.-H. American Polynesia and the Hawaiian chain
No full textO'Reilly Patrick. Bryan E.-H. American Polynesia and the Hawaiian chain. In: Journal de la Société des océanistes, tome 2, 1946. p. 243
Multi-echelon inventory modeling and supply redesign
No full textThesis: M. Eng. in Supply Chain Management, Massachusetts Institute of Technology, Supply Chain Management Program, 2017.Cataloged from PDF version of thesis.Includes bibliographical references (pages 46-49).Many businesses struggle to optimize the flow of inventory and finished goods through existing plants and facilities. The integration of inventory costs, organizational processes, and changing business dynamics make it difficult to determine the optimal flow. This thesis examines the flow of raw materials and finished goods through the supply chain of a multi-national oilfield services company. We study a centralized inventory approach, assessed through heuristics, against the existing decentralized approach. Sensitivity analysis with regard to service level, and mode of transport strengthened the analysis. We show that demand aggregation and lead time are important factors in determining the upper echelon for a company's internal distribution model. Potential safety stock reduction is 2%, which is mainly due to the improved coordination for materials flowing to the final echelon in the supply chain. However, pipeline inventory increases by 12% as a result of longer lead times.by Patrick Scott and Boxi Xu.M. Eng. in Supply Chain Managemen
Distributed supply chain simulation in GRIDS
No full textAmongst the majority of work done in supply chain simulation, papers have emerged that examine the area of model distribution. The executions of simulations on distributed hosts as a coupled model require both coordination and facilitating infrastructure. A distributed environment, the Generic Runtime Infrastructure for Distributed Simulation (GRIDS) is suggested to provide the bonding requirements for such a model. The advantages of transparently connecting the distributed components of a supply chain simulation allow the construction of a conceptual simulation while releasing the modeler from the complexities of the underlying network. The infrastructure presented demonstrates scalability without losing flexibility for future extensions based on open industry standard
Optimization of Strawberry Supply Chain from the Perspective of Producers
No full textThis thesis aims at maximizing the profit of a strawberry producer while satisfying the retailer's demand and meeting other constraints. The amount of strawberries to be delivered to the retailer signed in the contract is the main decision variable to be optimized in the problem. Furthermore, the transportation scheduling is also optimized to help the producer reduce cost.https://github.com/ZhongboYao/Optimisation-of-Strawberry-Supply-Chain/tree/main Codes are uploaded to GithubComputer Engineerin
Forecasting international movements of RTI
No full textThesis: M. Eng. in Supply Chain Management, Massachusetts Institute of Technology, Supply Chain Management Program, First author, 2017.Thesis: M. Eng. in Logistics, Massachusetts Institute of Technology, Supply Chain Management Program, Second author, 2017.Cataloged from PDF version of thesis.Includes bibliographical references (pages 60-61).Returnable Transport Items (RTI) are a critical component of domestic and international trade. The large variability in the geographic supply and demand of goods shipped using RTI impacts the items overall availability at different locations within a network. This research focuses on improving our partner firm's RTI inventory supply in the United States and Canada by developing a one-month-ahead forecasting model to predict the net monthly international flows. To develop the model, six years of historical time series data was decomposed into key elements: level, trend, and seasonality. The results of the decomposition method were used to narrow the forecasting models considered to state space seasonal exponential, SARIMA, state space Holt-Winters, and multivariate regression methods. These four methods were then used to predict the pallet flows using two different approaches. In the first approach, two separate forecasting models were developed, one for the United States-to-Canada flows and the other for the Canada-to-United States flows. The derived Canada-to-United States value was then subtracted from the corresponding United States-to-Canada forecast to calculate the predicted net international movement. In the second approach, we forecasted the net pallet flows between the two countries utilizing only historical values of net international movements. Ultimately, 36 unique models were created using both approaches. The naive forecasting method served as a performance benchmark to the developed models. The performances of the 36 models were then compared using multiplicative and mean composite scores, both of which were based on three accuracy metrics: MAPE, MASE and MAD. Our research found that out of the 36 forecasting models, only seven models outperformed the baseline naive forecasting method. These seven forecasting models were further filtered by qualitative metrics such as ease of implementation and software platform dependence. The state space seasonal exponential model was ultimately recommended due to its superior performances on both the quantitative and qualitative metrics.by Patrick A. Jacobs and Rajdeep Singh Walia.M. Eng. in Supply Chain ManagementM. Eng. in Logistic
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