Third-party logistics (3PL) services are external providers that handle various supply chain functions for a firm, such as transportation, warehousing, inventory management, and order fulfillment. By outsourcing these functions to a 3PL, a firm can reduce its investment in fixed assets, such as trucks, trailers, warehouses, and equipment. This can improve the firm's liquidity and return on assets ratios, as well as lower its depreciation and maintenance costs. However, using a 3PL does not necessarily affect the firm's retained earnings, accounts receivable, or intangible assets, which are influenced by other factors, such as profitability, sales, and goodwill. References:
*Third-Party Logistics (3PL) Guide: Process, Resources, And Benefits
*3PLs, Explained: The Complete Guide to Third-Party Logistics
*Understanding 3PL: The Role of Third-Party Logistics in 2024

Concurrent engineering is a product design approach that involves the simultaneous and collaborative involvement of different functional areas, such as engineering, marketing, manufacturing, and suppliers, in the product development process. Concurrent engineering aims to reduce time to market, improve quality, lower costs, and enhance customer satisfaction by integrating and coordinating the inputs and feedback of all the stakeholders from the early stages of design. Concurrent engineering can also facilitate the standardization and modularization of product components, which can improve the flexibility and responsiveness of a global supply chain. References:
Managing Supply Chain Operations, Chapter 3: Product Design and Development, Section 3.2:
Concurrent Engineering
CPIM Exam Content Manual, Module 1: Supply Chains and Strategy, Section 1.3: Product and Process Design, Subsection 1.3.1: Product and Process Design Concepts

A push system is a production system that operates based on forecasts and schedules, rather than actual customer demand. A push system pushes products to the market regardless of the current demand, and often results in excess inventory and waste. A push system does not consider the capacity constraints of the work centers, and therefore may send work orders to them even if they are not able to process them. This can create bottlenecks, delays, and inefficiencies in the production process12.
The other options are not correct because:
*B. Work centers are scheduled using finite capacity planning. This is not a characteristic of a push system, but rather a pull system. Finite capacity planning is a method of scheduling that takes into account the actual capacity of the work centers, and only releases work orders when there is enough capacity to process them.
This reduces the risk of overloading the work centers and improves the flow of production3.
*C. Work centers operate using decentralized control. This is not a characteristic of a push system, but rather a pull system. Decentralized control is a method of management that gives more autonomy and decision-making power to the work centers, and allows them to adjust their production according to the actual demand and capacity. This increases the flexibility and responsiveness of the production system4.
*D. Work centers signal previous work centers when they are ready for more work. This is not a characteristic of a push system, but rather a pull system. This is a common practice in a pull system that uses kanban cards as visual signals to trigger the production or replenishment of a product. The work centers only request more work when they have enough capacity and demand for it, and avoid overproduction and waste5.
References := 1 Push System vs. Pull System: Adopting A Hybrid Approach To MRP1 2 Push Systems vs.
Pull System: Definitions and Differences4 3 Finite Capacity Planning - an overview | ScienceDirect Topics 4 Centralized vs. Decentralized Manufacturing | IndustryWeek 5 Kanban - an overview | ScienceDirect Topics

Mixed-model scheduling is a technique that produces different models of the same product family in the same production line or work center. One of the benefits of mixed-model scheduling is that it reduces the number of setups required, as the models share common components and processes. Fewer setups can lead to lower setup costs, higher productivity, and better utilization of resources. The other outcomes are not benefits of mixed-model scheduling. Increased inventory, improved demand response, and fewer material shortages are more related to other factors such as inventory policies, demandforecasting, and supply planning. References: Mixed Model Scheduling | APICS Dictionary Term of the Day, APICS CPIM 8 Planning and Inventory Management | ASCM

Sharing of demand data with a supplier is an example of collaboration between suppliers and operations which would give more lead time visibility. This is because it allows the supplier to plan and adjust their production and delivery schedules according to the customer's needs, reducing the risk of stockouts or excess inventory. It also enables the supplier to provide feedback and suggestions to improve the demand planning process and the accuracy of the forecasts. Sharing of demand data is a key component of supplier relationship management (SRM) and collaborative planning, forecasting, and replenishment (CPFR). References := CPIM Exam Content Manual, Module 4: Supply, Section 4.2: Supplier Relationship Management, p. 15 Essentials of Supply Chain Management, Chapter 6: Demand Planning and Forecasting, Section 6.4:
Collaborative Planning, Forecasting, and Replenishment, pp. 101-103