BUSI 740
Understanding the Supply Chain and Strategic Fit
Khan Kamranur Rahman Shovon
School of Business, Liberty University
BUSI740- Managing the Supply Chain
D-Term Spring 2024
What is Supply Chain Management? Will a Supply Chain Always Look Like a Chain?
Supply chain management entails coordinating and planning various activities spanning
from sourcing and procurement to production, logistics, and distribution, all aimed at ensuring
the smooth flow of goods and services from suppliers to end customers. This involves a complex
network of organizations, processes, and resources working together to deliver products or
services to consumers. In practical terms, SCM holds immense significance for organizations as
it aids in optimizing operations, cutting costs, enhancing customer satisfaction, and securing a
BUSI 740
competitive advantage. Through efficient supply chain management, businesses can streamline
their processes, minimize wastage, and swiftly adapt to shifts in market demands or conditions.
The effective adoption of SCM principles can address common challenges like inventory
inefficiencies, production bottlenecks, and disruptions in the supply chain. It empowers
companies to forecast customer needs more accurately, reduce lead times, and ultimately bolster
their overall profitability. A supply chain involves multiple tiers of suppliers, manufacturers,
distributors, retailers, and intermediaries interconnected through various relationships and
interactions. It includes diverse suppliers, manufacturing locations, distribution centers, and
channels to reach customers, making it more complex than a simple linear chain.
Should the Members of a Supply Chain Maximize Individual Profits to Raise the Overall
Supply Chain Surplus?
The supply chain surplus denotes the total value generated by the participants within the
supply chain. While individual members may prioritize maximizing their own profits, achieving
optimal surplus for the entire supply chain necessitates collaboration and coordination among all
stakeholders. Simply striving to maximize individual profits does not always result in the highest
supply chain surplus. In certain instances, focusing solely on individual benefits can lead to
suboptimal outcomes for the entire supply chain. Thus, it is imperative for supply chain partners
to consider the collective advantages and collaborate to enhance overall performance and value
generation. The centralized approach is required in this regard. According to Zhang et al. (2024),
the centralized approach aligns with the principle that shorter lead times enhance overall
coordination within the supply chain; this approach mitigates potential issues arising from
decentralized methods, fostering successful collaboration among local members. This facilitates
mutually beneficial partnerships between suppliers and retailers and bolsters the long-term
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stability and sustainability of the supply chain. Implementing collaborative strategies, such as
information sharing, aligning incentives, and optimizing processes, can effectively address
conflicts of interest among supply chain members. By fostering cooperation and aligning
objectives, organizations can enhance overall supply chain efficiency and profitability.
The Strategic, Planning, and Operational Decisions Must be Made by Gap
Apparel retailers such as Gap must strategically select their product offerings, determine
pricing strategies, and position themselves within the market. Planning involves forecasting
demand, managing inventory, and deciding on sourcing approaches. Operationally, decisions
encompass store layout, staffing levels, and fulfillment procedures. Efficient decision-making in
strategic, planning, and operational decisions is crucial for meeting customer expectations, fine-
tuning inventory levels, and maximizing profits. According to Alhosseiny (2023)), strategic
planning, strategic thinking, and strategic agility are interconnected variables that influence an
organization's competitive edge; organizations must grasp these concepts and adeptly employ
them as tools to achieve goals in a dynamic, fast-changing environment to surpass competitors
and attain competitive advantage. By aligning strategies with market demand and operational
capabilities, apparel retailers can elevate customer satisfaction and sustain a competitive edge.
Effective implementation of integrated planning and execution processes can tackle issues like
stock shortages, surplus inventory, and markdowns. Through the utilization of data analytics, the
adoption of demand-driven replenishment methods, and the optimization of store operations,
retailers can enhance flexibility, trim expenses, and elevate overall performance.
The Supply Chain Involved When a Customer Purchases a Book at a Bookstore,
Identification of the Cycles in the Supply Chain, and the Location of the Push/Pull
Boundary
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The supply chain involved in purchasing a book from a bookstore encompasses several stages,
starting from book production, followed by distribution to wholesalers or retailers, and
concluding with the sale to the end customer. Within this supply chain, various cycles occur,
including procurement, production, distribution, and sales. Understanding these cycles and
recognizing the push/pull boundary is crucial as it allows for the identification of inventory
holding points and replenishment timings. In the pull boundary, production and distribution are
driven by actual customer demand for purchasing the books. Products are produced or
replenished in response to customer orders, meaning that inventory is pulled through the supply
chain as needed. Push boundary entails production and distribution decisions based on forecasts
or predictions of customer demand. Products are manufactured or stocked in anticipation of
demand, often in large quantities, and then pushed through the supply chain to distribution
centers and retailers. This understanding facilitates the optimization of inventory levels,
reduction of lead times, and enhancement of order fulfillment efficiency. Implementing
inventory management techniques such as vendor-managed inventory (VMI) and just-in-time
(JIT) replenishment can effectively address challenges associated with excess inventory,
stockouts, and order delays. By aligning supply chain processes with customer demand patterns,
organizations can improve responsiveness and profitability.
The Supply Chain Involved When a Customer Orders a Book From Amazon,
Identification of the Push/Pull Boundary, and Processes Each in the Push and Pull Phases
When a customer makes a purchase of a book through Amazon, the point where
inventory is managed transitions between push and pull phases at Amazon's fulfillment centers.
In the push phase, Amazon receives stock from suppliers and stores it in these centers. In the
subsequent pull phase, inventory is retrieved, packaged, and dispatched to customers in response
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to their specific orders. Recognizing the push/pull boundary and delineating processes within
each phase is instrumental in optimizing the positioning of inventory and streamlining order
fulfillment procedures. This approach allows Amazon to strike a balance between maintaining
adequate stock levels and minimizing costs, ultimately enhancing the quality of customer
service. Implementing warehouse management systems (WMS), automated picking
technologies, and strategies for optimizing transportation can effectively tackle issues such as
order accuracy, delivery times, and fulfillment expenses. By harnessing technological
advancements and refining operational processes, Amazon can elevate the efficiency of its
supply chain and elevate levels of customer satisfaction.
The Way Supply Chain Flows Affect the Success or Failure of Amazon and Supply Chain
Decisions
The effective flow of goods, information, and finances within a supply chain is pivotal in
determining the success or failure of companies like Amazon. Managing these flows efficiently
allows organizations to minimize expenses, optimize resource utilization, and augment customer
satisfaction. Key decisions in supply chain management that significantly influence profitability
encompass inventory control and transportation logistics. Proficient inventory management
ensures timely availability of the right products at designated locations, thereby reducing
instances of stockouts and excess inventory expenses. Concurrently, streamlined transportation
logistics diminish lead times, enhance order fulfillment speed, and lower distribution costs.
Implementing advanced techniques in inventory optimization, such as demand prediction,
prudent safety stock management, and inventory categorization, can address challenges related to
inventory imbalances, obsolescence, and carrying costs. To tackle challenges with complex
demand patterns and large data sets, a novel approach proposed by (Liu & Vakharia, 2024)
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combines Bayesian optimization, CNN (Convolutional Neural Networks), and LSTM (Long
Short-Term Memory Networks). According to the authors, this enhances accuracy and cost
control compared to traditional methods, and the method adjusts model hyperparameters using
Bayesian optimization, extracts spatiotemporal features with CNN, and models long-term
dependencies with LSTM. This boosts demand forecasting accuracy and inventory optimization
effectiveness. Similarly, embracing strategies for transportation optimization, such as route
efficiency, mode selection, and effective carrier management, can alleviate issues like delivery
delays, high transportation expenditures, and service level discrepancies. By continually refining
supply chain processes and harnessing technological innovations, companies like Amazon can
bolster their competitive standing and foster sustainable growth.
References
Alhosseiny, H. M. (2023). The impact of strategic planning, strategic thinking, and strategic
agility on competitive advantage: Literature Review. Academy of Strategic Management
Journal, Suppl. Special Issue 2, 22, 1-14. https://go.openathens.net/redirector/liberty.edu?
url=https://www.proquest.com/scholarly-journals/impact-strategic-planning-thinking-
agility-on/docview/2879597332/se-2
Liu, R., & Vakharia, V. (2024). Optimizing Supply Chain Management Through BO-CNN-
LSTM for Demand Forecasting and Inventory Management. Journal of Organizational
and End User Computing, 36(1), 1-25. https://doi.org/10.4018/JOEUC.335591
Zhang, M., Wang, Y., & Zhang, Y. (2024). Research on Supply Chain Coordination Decision
Making under the Influence of Lead Time Based on System Dynamics. Systems, 12(1),
32. https://doi.org/10.3390/systems12010032