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TRL4864 FULL REVISION PACK 2026 SEMESTER 1 Question 1: Assessment of Supply Chain Information Systems Functionality REPORT: ASSESSMENT OF SUPPLY CHAIN INFORMATION SYSTEMS (SCIS) FUNCTIONALITY

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TRL4864 FULL REVISION PACK 2026 SEMESTER 1 Question 1: Assessment of Supply Chain Information Systems Functionality REPORT: ASSESSMENT OF SUPPLY CHAIN INFORMATION SYSTEMS (SCIS) FUNCTIONALITY

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THE BMZ ACADEMY




THE BMZ ACADEMY




053 8213




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, THE BMZ ACADEMY
Question 1: Assessment of Supply Chain Information Systems Functionality

REPORT: ASSESSMENT OF SUPPLY CHAIN INFORMATION SYSTEMS (SCIS)
FUNCTIONALITY

To: Management of Company X

From: Supply Chain Consultant

Subject: Assessment of Information System Functionality for Supply Chain
Operations

1. Introduction

In contemporary supply chain environments, information systems are no longer
peripheral support tools but constitute the central nervous system of logistics and
supply chain management. According to Bowersox et al. (2024), supply chain
information systems (SCIS) enable coordination, integration, and synchronization of
material, financial, and information flows across the supply chain. For Company X,
effective SCIS functionality is critical to achieving operational efficiency, visibility,
responsiveness, and strategic alignment. This report assesses the four levels of SCIS
functionality, evaluates the importance of Enterprise Resource Planning (ERP)
systems, and identifies the key enterprise operation modules required for day-to-day
supply chain operations.

2. The Four Levels of Supply Chain Information Systems (SCIS) Functionality

Bowersox et al. (2024) conceptualise SCIS functionality as a hierarchical structure
consisting of four interdependent levels. Each level builds upon the capabilities of the
preceding one, forming an integrated pyramid of information support.

2.1 Transaction Processing Systems

Transaction processing represents the foundational level of SCIS functionality. This
level focuses on the accurate capture, processing, and recording of high-volume,
routine logistics transactions such as order entry, inventory updates, shipment

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confirmation, invoicing, and payments (Bowersox et al., 2019). The primary objective
is operational efficiency, accuracy, and reliability. Errors at this level propagate
throughout the supply chain, leading to poor customer service and increased costs.
For Company X, robust transaction systems ensure consistent execution of the order-
to-cash cycle and provide the data foundation for higher-level analysis.

2.2 Management Control Systems

The second level emphasises performance measurement, monitoring, and control.
Management control systems transform transactional data into meaningful
performance indicators such as order cycle time, inventory turnover, transportation
cost per unit, and service level attainment (Mentzer et al., 2008). These systems
enable exception reporting, allowing managers to identify deviations from standards
and initiate corrective action before service failures occur. Bowersox et al. (2024)
stress that proactive management control enhances operational discipline and
supports continuous improvement initiatives.

2.3 Decision Analysis Systems

Decision analysis systems support tactical and strategic decision-making through
analytical tools, models, and simulations. Typical applications include inventory
optimisation, network design, demand forecasting, transportation routing, and capacity
planning (Simchi-Levi et al., 2022). These systems rely on advanced databases and
quantitative models to evaluate alternative scenarios and trade-offs. For Company X,
decision analysis systems are essential for balancing cost, service, and risk in an
increasingly volatile supply chain environment.

2.4 Strategic Planning Systems

The highest level of SCIS functionality supports long-term strategic planning. At this
level, data from across the enterprise and supply chain are integrated into relational
databases to support strategic decisions such as outsourcing, strategic alliances,
customer segmentation, and supply chain capability development (Bowersox et al.,
2013). Strategic planning systems enable firms to align supply chain strategy with


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corporate objectives, thereby enhancing competitive advantage and long-term
profitability.

3. Importance of Enterprise Resource Planning (ERP) for Logistics and Supply
Chain Operations

Enterprise Resource Planning systems serve as the integrated backbone of modern
supply chain information architecture. ERP systems replace fragmented legacy
systems with a unified platform and a common database, ensuring data consistency,
transparency, and integrity across functions (Monk & Wagner, 2013). For logistics and
supply chain operations, ERP systems facilitate the initiation, execution, and
monitoring of core processes such as order fulfilment, inventory management,
procurement, and production planning. Furthermore, ERP systems integrate logistics
with finance, human resources, and marketing, enabling enterprise-wide visibility and
coordinated decision-making (Bowersox et al., 2024). Importantly, ERP systems
provide the transaction management foundation upon which advanced systems such
as customer relationship management (CRM), supplier relationship management
(SRM), and integrated supply chain management (ISCM) operate, thereby reducing
information distortion and mitigating phenomena such as the bullwhip effect.

4. SCIS Modules Required for Day-to-Day Supply Chain Operations

Effective day-to-day supply chain execution requires a suite of enterprise operation
modules that function in close integration with the ERP system.

4.1 Customer Relationship Management (CRM)

CRM modules facilitate information sharing between customers, sales, and
operations, supporting order management, demand visibility, and service
responsiveness (Payne & Frow, 2005).

4.2 Logistics Execution Systems




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