Autonomous Caregiver Following Robotic Wheelchair

Therefore we have to see non merely independent maps and user interfaces but besides how to cut down caregivers’ burden and back up their activities in a communicating facet. From this point of position, we have proposed a robotic wheelchair traveling with a caregiver side by side based on the MATLAB procedure. In this undertaking we discoursing about robotic wheel chair to follow a health professional by utilizing a microcontroller, Ultrasonic detector, computer keyboard, Motor drivers to run automaton. Using camera interfaced with the DM6437 ( Davinci Code Processor ) image is captured. The captured image are so processed by utilizing image processing technique, the processed image are so converted into electromotive force degrees through MAX 232 degree convertor and given it to the microcontroller unit serially and supersonic detector to observe the obstruction in forepart of automaton. In this automaton we have mode choice switch Automatic and Manual control of automaton, we use supersonic detector in automatic manner to happen obstruction, in Manual manner to utilize the computer keyboard to run wheel chair. In the microcontroller unit, hundred linguistic communication cryptography is predefined, harmonizing to this coding the automaton which connected to it was controlled. Robot which has several motors is activated by utilizing the motor drivers. Motor drivers are nil but a switch which ON/OFF the motor harmonizing to the control given by the microcontroller unit. Keywords:Code Composer studio,Robotic Wheelchair. Introduction Harmonizing to the World Health Organization ( WHO ) , between the 7 and 10 % of the population worldwide suffer from some physical disablement. This nose count indicates that the most common disablement is motor, followed by sightlessness, hearing loss, rational, and linguistic communication. Many people who suffer from chronic mobility damages, such as spinal cord hurts or multiple induration, utilize a powered wheelchair to travel around their environment. However, factors such as weariness, devolution of their status, and centripetal damages, frequently limit their ability to utilize standard electric wheelchairs. This undertaking aims at developing—in coaction with applied scientists and rehabilitation clinicians—a paradigm of a multi-functional intelligent wheelchair to help persons with mobility damages in their day-to-day motive power, while minimising physical and cognitive tonss. In Existing system the control is utilizing computer keyboard or person has to assist in traveling the wheel chair and here we introduce a new technique in this we can track the caregiver’s organic structure orientation by sing its form so that the wheelchair can do a bend when the health professional is traveling to alter his/her traveling way. Based on these observations of the health professional, our wheelchair can travel with the health professional side by side. img alt="" src="https://s3-eu-west-1.amazonaws.com/aaimagestore/essays/1209138.001.png". Fig1. System Overview The coveted codification can be fed into DM6437 via CCS and consequence can be viewed in matlab. In the following subdivision, the execution of tracking algorithms will be presented. Section III proposes the algorithm with Davinci codification processor and robotic system. Decision is given in subdivision IV. Peoples DETECTION AND TRACKING Initially connect web camera to the processor. From the picture 2 back-to-back snapshot will be taken with 2sec hold. Both the images will be converted from RGB to grey. The obtained images will hold noise. In order to take the noise Weiner filter is used. Then the filtered grey image will be converted in to grey Binary Image in which ROI is separated. From the binary image Region belongingss will be extracted. In this undertaking major axis length and orientation are extracted. These belongingss will be compared for both the images. Based on the conditions, the bids will be sent to the robotic wheelchair through consecutive port. The stairss followed in algorithm is, First we take two images automatically one by one with some hold. Convert both colour images to grey images by utilizing rgb2gray bid. Use wiener2 filter for taking gesture fuzz in both images because object is in traveling place so camera generate blurred image. Convert that wiener filtered images to binary images. Apply regionprops technique to binary images for ciphering majoraxislength, orientation ( angle ) . Here we are utilizing both instances such as majoraxislength for ciphering length of image and orientation for angle of image. After acquiring place of object that will be automatically sended to embedded kit ( wheel chair ) through consecutive port utilizing consecutive bid. img alt="" src="https://s3-eu-west-1.amazonaws.com/aaimagestore/essays/1209138.002.png"/ Fig2. Detecting Region of Interest ALGORITHM WITH DM6437 AND ROBOTIC SYSTEM Therefore the generated matlab plan has been fed into the davinci codification processor. This is done by change overing matlab codification in to c codification. The generated degree Celsius codification will be injected in to the processor utilizing Code Composer Studio. img alt="" src="https://s3-eu-west-1.amazonaws.com/aaimagestore/essays/1209138.003.png"/ Fig3. DVM6437 with supplied electromotive force and USB connexion img alt="" src="https://s3-eu-west-1.amazonaws.com/aaimagestore/essays/1209138.004.png"/ Fig 4. MATLAB coding img alt="" src="https://s3-eu-west-1.amazonaws.com/aaimagestore/essays/1209138.005.jpg"/ Fig5. Connecting with CCS A Robotic constellation. The paradigm system can be implemented utilizing the TMS320DM6437 EVM board, the Robot, and a picture camera. The EVM board includes a DM6437 DSP with a UART consecutive port, composite picture inputs and end products, and many other peripherals. img alt="" src="https://s3-eu-west-1.amazonaws.com/aaimagestore/essays/1209138.006.png"/ Fig6. Robotic Circuit The EVM board can be mounted above the robotic system. A gripper can be built, to attach the picture camera to the system, and avoid camera quivers, that can be caused by the automaton ‘s motion. Maestro system. The maestro system includes the robotic faculty. Thus the TI DSP processor can be interfaced to robotic faculty by agencies of UART. The robotic system can be configured with 89C51, DC brushless motors ( 45 revolutions per minute ) , detectors for the obstructions sensing and UART for the external. This microcontroller enforce greater versatility with the option for Embedded Web waiter application, so that system can be monitored from the distant location. Therefore configuring the system utilizing UART would intend that the DSP would move as slave and it would the feed the boot information to the maestro device ( 89C51 ) , when they need information. Thus the maestro would have the picture information, sing which object demand to be tracked from the slave ( DSP ) and there by the coveted one would be tracked. Thus the presented algorithm would roll up the belongingss of the coveted object, which would voyage the slave for tracking. Based on the place of the Object ( Caregiver ) , the bids will be sent to microcontroller through the consecutive port. Depending on the standard bids, the action will be taken topographic point. The bids and it’s control action for automaton, is given in tabular array. TABLE1: DECISION MAKING TABLE BY ROBOT S.No Command Robot motion 1 4 Left 2 6 Right 3 8 Forward 4 5 Stop The relationship between the maestro and break one’s back device is depicted as province flow chart in the figure7 img alt="" src="https://s3-eu-west-1.amazonaws.com/aaimagestore/essays/1209138.007.png"/ img alt="" src="https://s3-eu-west-1.amazonaws.com/aaimagestore/essays/1209138.008.png"/ img alt="" src="https://s3-eu-west-1.amazonaws.com/aaimagestore/essays/1209138.009.png"/ img alt="" src="https://s3-eu-west-1.amazonaws.com/aaimagestore/essays/1209138.008.png" img alt="" src="https://s3-eu-west-1.amazonaws.com/aaimagestore/essays/1209138.010.png" img alt="" src="https://s3-eu-west-1.amazonaws.com/aaimagestore/essays/1209138.008.png"/ img alt="" src="https://s3-eu-west-1.amazonaws.com/aaimagestore/essays/1209138.011.png" img alt="" src="https://s3-eu-west-1.amazonaws.com/aaimagestore/essays/1209138.008.png"/ img alt="" src="https://s3-eu-west-1.amazonaws.com/aaimagestore/essays/1209138.012.png"/ Fig7. Flow of mechanism between district attorney vinci and robotic system img alt="" src="https://s3-eu-west-1.amazonaws.com/aaimagestore/essays/1209138.020.png"img alt="" src="https://s3-eu-west-1.amazonaws.com/aaimagestore/essays/1209138.019.png"img alt="" src="https://s3-eu-west-1.amazonaws.com/aaimagestore/essays/1209138.018.png"img alt="" src="https://s3-eu-west-1.amazonaws.com/aaimagestore/essays/1209138.017.png"img alt="" src="https://s3-eu-west-1.amazonaws.com/aaimagestore/essays/1209138.016.png"img alt="" src="https://s3-eu-west-1.amazonaws.com/aaimagestore/essays/1209138.015.png"img alt="" src="https://s3-eu-west-1.amazonaws.com/aaimagestore/essays/1209138.014.png"img alt="" src="https://s3-eu-west-1.amazonaws.com/aaimagestore/essays/1209138.013.png"img alt="" src="https://s3-eu-west-1.amazonaws.com/aaimagestore/essays/1209138.021.png"/ Fig8. Robotic Wheelchair Prototype Decision In this paper, a new algorithm is presented, to do the wheelchair to follow health professional. The algorithm is verified for a set of picture. It reduces the physical work and caregiver’s burden. The proposed architecture has to be implemented. Mentions [ 1 ] Veenman, C. Reinders, M. , and Backer, E. 2001. Deciding gesture correspondence for dumbly traveling points, IEEE Trans. Patt. Analy. Mach. Intell. 23, 1, 54–72. Serby, D. , koller clemency, S. , AND Gool L. V. 2004. Probabilistic object tracking utilizing multiple characteristics. In IEEE International Conference of Pattern Recognition ( ICPR ) . 184–187. Comaniciu, D. , Ramesh, V. , Andmeer, P. 2003. Kernel-based object trailing. IEEE Trans. Patt. Analy. Mach Intell. 25, 564–575. Yilmaz, A. , LI, X. , AND Shah, M. 2004. Contour based object tracking with occlusion managing in picture acquired utilizing nomadic cameras. IEEE Trans. Patt. Analy. Mach. Intell. 26, 11, 1531–1536. Pashcog, G. 2001. Perceptually unvarying colour infinites for colour texture analysis: an empirical rating. IEEE Trans. Image Process. 10, 932–937. Canny, J. 1986. A computational attack to inch sensing. IEEE Trans. Patt. Analy. Mach. Intell. 8, 6, 679–698. HORN, B. AND SCHUNK, B. 1981. Determining optical flow. Artific. Intell. 17, 185–203. Kanade, T. , collins, R. , Lipton, A. , Burt, P. , AND Wilson, L. 1998. Progresss in concerted multi-sensor picture surveillance. Darpa IU Workshop. 3–24. Wren, A. Azarbayejani, T. Darrell, and A. Pentland, â€Å"Pfinder: Real-time trailing of the human organic structure, † IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 19, pp. 780-785, 1997. A. Monnet, A. Mittal, N. Paragios, and V. Ramesh, â€Å"Background mold and minus of dynamic scenes, † Oct. 2003, pp. 1305-1312 vol.2. [ 11 ] M. Irani and P. Anandan, â€Å"Video indexing based on Mosaic representations, † Proceedings of the IEEE, vol. 86, no. 5, pp. 905-921, May 1998. [ 12 ] X. Gao, T. Boult, F. Coetzee, and V. Ramesh, â€Å"Error analysis of background adaptation, † vol. 1, 2000, pp. 503-510 vol-1 P.1 Autonomous Caregiver Following Robotic Wheelchair Therefore we have to see non merely independent maps and user interfaces but besides how to cut down caregivers’ burden and back up their activities in a communicating facet. From this point of position, we have proposed a robotic wheelchair traveling with a caregiver side by side based on the MATLAB procedure. In this undertaking we discoursing about robotic wheel chair to follow a health professional by utilizing a microcontroller, Ultrasonic detector, computer keyboard, Motor drivers to run automaton. Using camera interfaced with the DM6437 ( Davinci Code Processor ) image is captured. The captured image are so processed by utilizing image processing technique, the processed image are so converted into electromotive force degrees through MAX 232 degree convertor and given it to the microcontroller unit serially and supersonic detector to observe the obstruction in forepart of automaton. In this automaton we have mode choice switch Automatic and Manual control of automaton, we use supersonic detector in automatic manner to happen obstruction, in Manual manner to utilize the computer keyboard to run wheel chair. In the microcontroller unit, hundred linguistic communication cryptography is predefined, harmonizing to this coding the automaton which connected to it was controlled. Robot which has several motors is activated by utilizing the motor drivers. Motor drivers are nil but a switch which ON/OFF the motor harmonizing to the control given by the microcontroller unit. Keywords:Code Composer studio,Robotic Wheelchair. Introduction Harmonizing to the World Health Organization ( WHO ) , between the 7 and 10 % of the population worldwide suffer from some physical disablement. This nose count indicates that the most common disablement is motor, followed by sightlessness, hearing loss, rational, and linguistic communication. Many people who suffer from chronic mobility damages, such as spinal cord hurts or multiple induration, utilize a powered wheelchair to travel around their environment. However, factors such as weariness, devolution of their status, and centripetal damages, frequently limit their ability to utilize standard electric wheelchairs. This undertaking aims at developing—in coaction with applied scientists and rehabilitation clinicians—a paradigm of a multi-functional intelligent wheelchair to help persons with mobility damages in their day-to-day motive power, while minimising physical and cognitive tonss. In Existing system the control is utilizing computer keyboard or person has to assist in traveling the wheel chair and here we introduce a new technique in this we can track the caregiver’s organic structure orientation by sing its form so that the wheelchair can do a bend when the health professional is traveling to alter his/her traveling way. Based on these observations of the health professional, our wheelchair can travel with the health professional side by side. img alt="" src="https://s3-eu-west-1.amazonaws.com/aaimagestore/essays/1209138.001.png". Fig1. System Overview The coveted codification can be fed into DM6437 via CCS and consequence can be viewed in matlab. In the following subdivision, the execution of tracking algorithms will be presented. Section III proposes the algorithm with Davinci codification processor and robotic system. Decision is given in subdivision IV. Peoples DETECTION AND TRACKING Initially connect web camera to the processor. From the picture 2 back-to-back snapshot will be taken with 2sec hold. Both the images will be converted from RGB to grey. The obtained images will hold noise. In order to take the noise Weiner filter is used. Then the filtered grey image will be converted in to grey Binary Image in which ROI is separated. From the binary image Region belongingss will be extracted. In this undertaking major axis length and orientation are extracted. These belongingss will be compared for both the images. Based on the conditions, the bids will be sent to the robotic wheelchair through consecutive port. The stairss followed in algorithm is, First we take two images automatically one by one with some hold. Convert both colour images to grey images by utilizing rgb2gray bid. Use wiener2 filter for taking gesture fuzz in both images because object is in traveling place so camera generate blurred image. Convert that wiener filtered images to binary images. Apply regionprops technique to binary images for ciphering majoraxislength, orientation ( angle ) . Here we are utilizing both instances such as majoraxislength for ciphering length of image and orientation for angle of image. After acquiring place of object that will be automatically sended to embedded kit ( wheel chair ) through consecutive port utilizing consecutive bid. img alt="" src="https://s3-eu-west-1.amazonaws.com/aaimagestore/essays/1209138.002.png"/ Fig2. Detecting Region of Interest ALGORITHM WITH DM6437 AND ROBOTIC SYSTEM Therefore the generated matlab plan has been fed into the davinci codification processor. This is done by change overing matlab codification in to c codification. The generated degree Celsius codification will be injected in to the processor utilizing Code Composer Studio. img alt="" src="https://s3-eu-west-1.amazonaws.com/aaimagestore/essays/1209138.003.png"/ Fig3. DVM6437 with supplied electromotive force and USB connexion img alt="" src="https://s3-eu-west-1.amazonaws.com/aaimagestore/essays/1209138.004.png"/ Fig 4. MATLAB coding img alt="" src="https://s3-eu-west-1.amazonaws.com/aaimagestore/essays/1209138.005.jpg"/ Fig5. Connecting with CCS A Robotic constellation. The paradigm system can be implemented utilizing the TMS320DM6437 EVM board, the Robot, and a picture camera. The EVM board includes a DM6437 DSP with a UART consecutive port, composite picture inputs and end products, and many other peripherals. img alt="" src="https://s3-eu-west-1.amazonaws.com/aaimagestore/essays/1209138.006.png"/ Fig6. Robotic Circuit The EVM board can be mounted above the robotic system. A gripper can be built, to attach the picture camera to the system, and avoid camera quivers, that can be caused by the automaton ‘s motion. Maestro system. The maestro system includes the robotic faculty. Thus the TI DSP processor can be interfaced to robotic faculty by agencies of UART. The robotic system can be configured with 89C51, DC brushless motors ( 45 revolutions per minute ) , detectors for the obstructions sensing and UART for the external. This microcontroller enforce greater versatility with the option for Embedded Web waiter application, so that system can be monitored from the distant location. Therefore configuring the system utilizing UART would intend that the DSP would move as slave and it would the feed the boot information to the maestro device ( 89C51 ) , when they need information. Thus the maestro would have the picture information, sing which object demand to be tracked from the slave ( DSP ) and there by the coveted one would be tracked. Thus the presented algorithm would roll up the belongingss of the coveted object, which would voyage the slave for tracking. Based on the place of the Object ( Caregiver ) , the bids will be sent to microcontroller through the consecutive port. Depending on the standard bids, the action will be taken topographic point. The bids and it’s control action for automaton, is given in tabular array. TABLE1: DECISION MAKING TABLE BY ROBOT S.No Command Robot motion 1 4 Left 2 6 Right 3 8 Forward 4 5 Stop The relationship between the maestro and break one’s back device is depicted as province flow chart in the figure7 img alt="" src="https://s3-eu-west-1.amazonaws.com/aaimagestore/essays/1209138.007.png"/ img alt="" src="https://s3-eu-west-1.amazonaws.com/aaimagestore/essays/1209138.008.png"/ img alt="" src="https://s3-eu-west-1.amazonaws.com/aaimagestore/essays/1209138.009.png"/ img alt="" src="https://s3-eu-west-1.amazonaws.com/aaimagestore/essays/1209138.008.png" img alt="" src="https://s3-eu-west-1.amazonaws.com/aaimagestore/essays/1209138.010.png" img alt="" src="https://s3-eu-west-1.amazonaws.com/aaimagestore/essays/1209138.008.png"/ img alt="" src="https://s3-eu-west-1.amazonaws.com/aaimagestore/essays/1209138.011.png" img alt="" src="https://s3-eu-west-1.amazonaws.com/aaimagestore/essays/1209138.008.png"/ img alt="" src="https://s3-eu-west-1.amazonaws.com/aaimagestore/essays/1209138.012.png"/ Fig7. Flow of mechanism between district attorney vinci and robotic system img alt="" src="https://s3-eu-west-1.amazonaws.com/aaimagestore/essays/1209138.020.png"img alt="" src="https://s3-eu-west-1.amazonaws.com/aaimagestore/essays/1209138.019.png"img alt="" src="https://s3-eu-west-1.amazonaws.com/aaimagestore/essays/1209138.018.png"img alt="" src="https://s3-eu-west-1.amazonaws.com/aaimagestore/essays/1209138.017.png"img alt="" src="https://s3-eu-west-1.amazonaws.com/aaimagestore/essays/1209138.016.png"img alt="" src="https://s3-eu-west-1.amazonaws.com/aaimagestore/essays/1209138.015.png"img alt="" src="https://s3-eu-west-1.amazonaws.com/aaimagestore/essays/1209138.014.png"img alt="" src="https://s3-eu-west-1.amazonaws.com/aaimagestore/essays/1209138.013.png"img alt="" src="https://s3-eu-west-1.amazonaws.com/aaimagestore/essays/1209138.021.png"/ Fig8. Robotic Wheelchair Prototype Decision In this paper, a new algorithm is presented, to do the wheelchair to follow health professional. The algorithm is verified for a set of picture. It reduces the physical work and caregiver’s burden. The proposed architecture has to be implemented. Mentions [ 1 ] Veenman, C. Reinders, M. , and Backer, E. 2001. Deciding gesture correspondence for dumbly traveling points, IEEE Trans. Patt. Analy. Mach. Intell. 23, 1, 54–72. Serby, D. , koller clemency, S. , AND Gool L. V. 2004. Probabilistic object tracking utilizing multiple characteristics. In IEEE International Conference of Pattern Recognition ( ICPR ) . 184–187. Comaniciu, D. , Ramesh, V. , Andmeer, P. 2003. Kernel-based object trailing. IEEE Trans. Patt. Analy. Mach Intell. 25, 564–575. Yilmaz, A. , LI, X. , AND Shah, M. 2004. Contour based object tracking with occlusion managing in picture acquired utilizing nomadic cameras. IEEE Trans. Patt. Analy. Mach. Intell. 26, 11, 1531–1536. Pashcog, G. 2001. Perceptually unvarying colour infinites for colour texture analysis: an empirical rating. IEEE Trans. Image Process. 10, 932–937. Canny, J. 1986. A computational attack to inch sensing. IEEE Trans. Patt. Analy. Mach. Intell. 8, 6, 679–698. HORN, B. AND SCHUNK, B. 1981. Determining optical flow. Artific. Intell. 17, 185–203. Kanade, T. , collins, R. , Lipton, A. , Burt, P. , AND Wilson, L. 1998. Progresss in concerted multi-sensor picture surveillance. Darpa IU Workshop. 3–24. Wren, A. Azarbayejani, T. Darrell, and A. Pentland, â€Å"Pfinder: Real-time trailing of the human organic structure, † IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 19, pp. 780-785, 1997. A. Monnet, A. Mittal, N. Paragios, and V. Ramesh, â€Å"Background mold and minus of dynamic scenes, † Oct. 2003, pp. 1305-1312 vol.2. [ 11 ] M. Irani and P. Anandan, â€Å"Video indexing based on Mosaic representations, † Proceedings of the IEEE, vol. 86, no. 5, pp. 905-921, May 1998. [ 12 ] X. Gao, T. Boult, F. Coetzee, and V. Ramesh, â€Å"Error analysis of background adaptation, † vol. 1, 2000, pp. 503-510 vol-1 P.1

Racism Essay Example | Topics and Well Written Essays - 1500 words

Racism - Essay Example Racial discrimination is treating people differently on the basis of race. In famous case Brown v. Board of Education of Topeka,* by overturning its earlier rule the United States Supreme Court, declared that the establishment of separate public schools for black and white students inherently unequal. This victory paved the way for integration and the Civil Rights Movement. The same decision was repeated in the Bolling v. Sharpe's** case also. Racism produces its effects through segregation, socioeconomic stratification, and marginalization as well as through the individual experience. Institutionalized racism produces discriminatory effects on health through public policy, the physical environment, social and medical services and preventive health policy. Perceived inequity and frustrated goals combine with policies that make the urban environment physically or psychologically hazardous to affect the family, sense of self and sense of community. This affects social buffers and supports while increasing the chance of experiencing a life event. Decreased social efficacy combined with a decaying physical environment promotes "alternative" lifestyles and economies, these can overcome the resilience of a community and undermine their buffering effects. The impact of racism on the individual, family, community and physical environment may --------------------------------------------------------------------------------------------------------- * Brown Vs Board of Education of Topeka 347 US 483 (1954)** Bolling Vs Sharpe 347US 487 (1954) 2 lead to psychological and physical harm to children and so produce a future generation of problems. The US government has formulated a number of programs for tracing the racist elements which is deep rooted in the society and to find out the solutions to eradicate this ever going problems. Department of Behavioral Medicine, Harvard Medical School, Boston *conducted a research and found out that racism is the one of the fundamental cause for the racial disparities of health commonly founds in people. According to their opinion the physiological changes which occur when African-Americans encounter everyday racism are thought to lead to poorer health in the long-term. The association between experienced racism and ill health is modified by social status and personal coping strategies. A wider conceptualization of the processes through which racism is linked to ill-health demands an understanding of the effects of racism at a political, socioeconomic, community, and family level. Such effects are as pertinent to illness rates as the experience of the individual. From the above discussion a question naturally arises. It is true that the segregation of the people as per their color

Analyze and compare two companies strategic management areas Essay

Analyze and compare two companies strategic management areas - Essay Example The company businesses span oil and gas sector, automotive distribution, information and communication, home appliances, travel and logistics alongside offering large spectrum of services to growing consumer base. On the other hand Milaha Corporation was established in 1957 and is one of the largest and most diversified maritime and logistics companies within Middle East. The company’s operations range from ocean transport as well as offshore support services including third party logistics alongside ancillary solutions (Blanchard, 2010). Organizational leadership in Mannai Corporation utilizes public relations in the provision of variety services to all authentic stakeholders. This is ensured through existing peaceful environment that allows stakeholders to enjoy quality service and product provisions. Such provisions would make the organization to be identified with qualities such as fun-loving, service minded and spirited capabilities (Wieland and Marcus, 2011). The significance of the value equation within Mannai’ s marketing department involves service strategies that aim at full satisfaction of already existing clients for the purposes of maintaining good percentage of market share. The inclusion of value equation within international market ensures that such organization acquires right positioning in a way that ensures delivery of value added substance, which is capable of providing vital, reliable and dependable information on products and services. In this case, value equation determines benefits expe cted from products and services. However, the whole process is dependent on, time and finances as the key factor in transaction. The Milaha Corporation’s supply chain management comprises of a team of experts who ensures that maximization on the product delivery processes from the production all along to customers. In this case, the company uses customized solutions for the purposes of