# Optimizing Design of Smart Workplace through Multi-Objective Programming
## 1 Introduction
Their analysis aimed to identify the most suited technology employed in maintenance tasks. [PERSON] et al. (2021) [9] implemented a network of physical sensors and a closed control loop to optimize an office workplace environment. They applied two modes of control involving learning from user responses and the other was based on predefined rules sets. [PERSON] et al. (2016) [10] designed a smart health monitoring system to automate patient monitoring tasks. They developed a GSM (Global System for Mobile) based smart wearable system with 3-axis Accelerometer, ECG recording system, and real-time NIBP analysis system. [PERSON] and [PERSON] (2017) [11] presented a smart health monitoring system that uses biomedical sensors to check a patient's condition and report it through the internet to inform the concerned doctors either through an LCD monitor or through a developed smartphone mobile application. [PERSON] and [PERSON] (2017) [12] architected a Cyber-Physical system model for personalized healthcare delivery and managed individual health outcomes. [PERSON] et al. (2017) [13] proposed a wireless network infrastructure that provides health and medical services to children and adults as well as assists in distributing tablets, vaccines to monitor endemic diseases. [PERSON] and [PERSON] (2019)[14] emphasized the role of utilizing IoT together with Big Data technologies in transmitting ECG sensors data from the patient to the doctors and other concerned persons for effective and efficient smart health monitoring. They stated that IoT helps the ECG signals to get transmitted through the sensor via a gateway using communication protocols like Bluetooth, Zigbee, 3G/4G, Wi-Fi, LAN, etc. [PERSON] et al. (2019) [15] investigated the mobile phone software or hospital official network of smart healthcare in the current Chinese market environment and analyzed the main functions and shortcomings with the aboriginal lens. [PERSON] et al. (2019) [16], proposed a smart sensing mobile application that can collect data coming from the body temperature sensor through the network, then processes it based on some analysis to provide the mobile user the needed information and the decision to take in case of an emergency situation. [PERSON] (2020) [17] proposed the architecture of a smart healthcare system using artificial intelligence as a tool for optimizing patient care plans. He pointed out that the proposed system enables the early detection of serious diseases and can automatically recognize the complicated patterns and produces AI-generated radiologist and clinical reports. [PERSON] et al. (2020) [18] presented a convolution neural network-based smart hospital and patient scheduling system, to assist patients comfortably while planning to visit the clinic and without any heavy burden to consult a doctor for their needs. [PERSON] et al. (2020) [19] proposed a design of a hospital IoT smart system and nucleoside drugs for the treatment of hepatitis and liver cirrhosis. [PERSON] et al. (2020) [20] presented a smart IoT platform in the hospital that can relieve postoperative pain. [PERSON] et al. (2020) [21] proposed an intelligent health monitoring system based on based on IoT and agents that monitor the patients' heart rate automatically and can anticipate the critical condition before happening and send an alerting message to the patient family, doctors, nurses, as well as hospital in-charge. Indeed, the literature reveals that currently there is no objective model or techniques used to guide the systematic development optimization of smart environment development decisions.